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7 Characteristics of Resilient People: Bitesize
PPD bitesize resources are short and high impact; including videos, quick tips guides and interactive bitesize modules. Develop your skills and knowledge quickly, easily, when you need. They complement face to face events and more in-depth online modules.
An introduction to the 8 Wastes (Lean methodology), and how to spot hidden waste in your own processes.
These e-learning modules are available via the InforMEA e-learning platform. Information and guidance on ABS and Nagoya Protocol webpage is available on the University website.
Introduction to Access and Benefit Sharing(ABS)
This course provides an introduction to access and benefit-sharing of genetic resource that originate from overseas.
Sign up on the InforeMEA platform.
Further details about the syllabus information are available here.
Introductory Course to the Nagoya Protocol
This course provides an introduction to the major components of the Nagoya Protocol.
Please see the syllabus for further details and sign up on the InforeMEA platform.
If you wish, you can take a quiz at the end of the both courses to assess your learning progress. You are required to answer at least 80% of the assessment questions correctly in order to obtain a course certificate.
The fundamental-level course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.
This is a free course, register and sign in for the following dates:
19th July 2021
2nd August 2021
16th August 2021
2nd September 2021
13th September 2021
This free training day hosted by Amazon Web Services (AWS) is a hybrid event, with a choice of attending online using Chime in a web browser, or there are 28 places available to attend at Amazon's offices next to Cambridge railway station.
Please confirm your choice of venue by the end of Wednesday (tomorrow) with one final survey:
Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can start unlocking new insights and value for your business using machine learning.
This is a free course, register and sign in for the following dates:
In this introductory course, you will learn about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.
This is a free course, register and sign in for the following dates:
26th July 2021
9th August 2021
23rd August 2021
6th September 2021
Learn about AWS's strategy and best practices for performing large-scale migrations. Synthesized from AWS's experience of helping hundreds of enterprise customers move to the cloud, you will learn proven techniques that make migrations successful and tools that will accelerate your migration journey to the AWS Cloud.
This is a free course, register and sign in for the following dates:
This short session will provide an understanding of the principles, tools and techniques involved in Process Analysis with a view to improving business process effectiveness and efficiency. Delegates will have the opportunity to practice using the techniques that they learn via exercises designed to be enjoyable and thought provoking.
Date | Availability | |
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Wed 10 Apr 2024 | 09:30 | [Full] |
Tue 7 May 2024 | 09:30 | [Full] |
This week-long course is aimed at people with little or no experience using statistical analyses in research. It introduces participants to core concepts in statistics and experimental design, aimed at ensuring that the resulting data is able to address the research question using appropriate statistical methods.
The interactive course gives participants a hands-on, applied foundation in statistical data analysis and experimental design. Group exercises and discussions are combined with short lectures that introduce key theoretical concepts. Computational methods are used throughout the course, using the R programming language. Formative assessment exercises allow participants to test their understanding throughout the course and encourage questions and critical thinking.
By the end of the course participants will be able to critically evaluate and design effective research questions, linking experimental design concepts to subsequent statistical analyses. It will allow participants to make informed decisions on which statistical tests are most appropriate to their research questions. The course will provide a solid grounding for further development of applied statistical competencies.
As a follow-up of this course, we run an extra optional session on 25 April. This is an applied, hands-on session where you can bring your own data and we provide direct support to your analysis. This is exclusively available to participants on this course. |
If you do not have a University of Cambridge Raven account please book or register your interest here.
Date | Availability | |
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Thu 25 Apr 2024 | 09:30 | [Places] |
In this course you will acquire practical skills in RNA-seq data analysis. You will learn about quality control, alignment, and quantification of gene expression against a reference transcriptome. Additionally, you will learn to conduct downstream analysis in R, exploring techniques like PCA and clustering for exploratory analysis. The course also covers differential expression analysis using the DESeq2 R/Bioconductor package. Furthermore, the course covers how to generate visualisations like heatmaps and performing gene set testing to link differential genes with established biological functions or pathways.
If you do not have a University of Cambridge Raven account please book or register your interest here.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.
Date | Availability | |
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Fri 15 Mar 2024 | 09:30 | In progress |
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a method used to identify binding sites for transcription factors, histone modifications and other DNA-binding proteins across the genome. In this course, we will cover the fundamentals of ChIP-seq data analysis, from raw data to downstream applications.
We will start with an introduction to ChIP-seq methods and cover the bioinformatic steps in processing ChIP-seq data. We will then introduce the use of the graphical program SeqMonk to explore and visualise your data. Finally, you will perform peak calling and perform differential enrichment analysis.
If you do not have a University of Cambridge Raven account please book or register your interest here.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.
This workshop focuses on expression proteomics, which aims to characterise the protein diversity and abundance in a particular system. You will learn about the bioinformatic analysis steps involved when working with these kind of data, in particular several dedicated proteomics Bioconductor packages, part of the R programming language. We will use real-world datasets obtained from label free quantitation (LFQ) as well as tandem mass tag (TMT) mass spectrometry. We cover the basic data structures used to store and manipulate protein abundance data, how to do quality control and filtering of the data, as well as several visualisations. Finally, we include statistical analysis of differential abundance across sample groups (e.g. control vs. treated) and further evaluation and biological interpretation of the results via gene ontology analysis. By the end of this workshop you should have the skills to make sense of expression proteomics data, from start to finish.
If you do not have a University of Cambridge Raven account please book or register your interest here.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.
Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging.
In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq.
If you do not have a University of Cambridge Raven account please book or register your interest here.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.
The Critical Reading course aims to improve students' ability to read critically and evaluate sources, as well as giving helpful tips about productive reading, note taking and providing a checklist of questions to help them with their reading going forward. It is suitable for all students but aimed mostly at undergraduates.
This training is intended for staff and post graduate students who regularly use DSE to help prevent or reduce the risk of possible health problems arising from computer use. The training is also aimed at those responsible within departments for assisting with the DSE risk assessment process. The course will provide an understanding of the DSE Regulations 1992 (as amended 2002) and discuss employer's and employee's duties regarding the assessment of DSE workstations. There will be theory and a practical demonstration. The training will allow time to discuss some of the common health problems and concerns that may be associated with poor workstation set-up with examples of possible solutions.
This practical programme is only for those who are scheduled to begin supervising in the next few months; it is not for those who - at this point - have a general interest in learning more about supervisions but have not arranged to start supervising.
This workshop is the second component of a three-part programme, which is designed to be completed in the following order:
- 1. A self-paced online module containing information on the Cambridge supervision system and introducing the principles and practices of effective teaching and learning, which must be completed before attending this workshop.
- 2. This in-person workshop that incorporates personal reflection on teaching practice, design of learning activities, discussion of real teaching scenarios, a chance to discuss and ask questions and access to practical information about organising and carrying out your supervisions.
- 3. An optional follow-up session for those who wish to explore further after gaining some supervision experience.
Please note that everyone new to supervising undergraduates at Cambridge must complete this course: both the online module and the workshop (or equivalent face-to-face training provided by your Department or Faculty).
Bookings for all workshops will close two days before the workshop to give you time to complete the online module ahead of the workshop.
Date | Availability | |
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Thu 13 Jun 2024 | 14:00 | [Places] |
This practical programme is only for those who are scheduled to begin supervising in the next few months; it is not for those who - at this point - have a general interest in learning more about supervisions but have not arranged to start supervising.
This workshop is the second component of a three-part programme, which is designed to be completed in the following order:
- 1. A self-paced online module containing information on the Cambridge supervision system and introducing the principles and practices of effective teaching and learning, which must be completed before attending this workshop.
- 2. This in-person workshop that incorporates personal reflection on teaching practice, design of learning activities, discussion of real teaching scenarios, a chance to discuss and ask questions and access to practical information about organising and carrying out your supervisions.
- 3. An optional follow-up session for those who wish to explore further after gaining some supervision experience.
Please note that everyone new to supervising undergraduates at Cambridge must complete this course: both the online module and the workshop (or equivalent face-to-face training provided by your Department or Faculty).
Bookings for all workshops will close two days before the workshop to give you time to complete the online module ahead of the workshop.
This course is designed to provide a basic introduction to how finances are managed at the University and is the ideal first course for anyone who will be working in an accounts area.
Not only does it provide an overview of how the University's Finance System (UFS) is structured but also which activities are performed centrally and which are done in departments. It introduces the concepts of the Financial Regulations and Finance Procedures as well as signposting where you can find more support, how to access UFS and what training may be appropriate for your role.
An annual update for Departmental Safety Officers.
The University and all its staff have a responsibility to ensure that neither their conduct, nor the conduct of any person or organisation entering into any contract or arrangement with the University contravenes the Bribery Act 2010.
This online course guides you through the scope of the Bribery Act and Criminal Finances Act and highlights some of the situations that you should be aware of.
An Introduction to the University's eInvoicing system, how it works and what actions/processes are completed by the department.
This on-line course will enable end users to understand the basics of accounts payable, including processing basic invoices and expense claims.
This on-line course will enable Shared Services staff members to understand the basics of accounts payable, including processing basic invoices and expense claims.
This on-line course enables users to learn how to Secondary Approve invoices within the Accounts Payable module.
Apprenticeships can help people of all ages and at all levels (including post graduate qualifications), to gain the skills and knowledge they need for a rewarding career.
We have asked some of our Apprentices about their experiences, why they chose to undertake an apprenticeship and the benefits they are seeing through their participation. Please follow the links below to see what they have to say.
Approaches to Learning: Bitesize
PPD bitesize resources are short and high impact; including videos, quick tips guides and interactive bitesize modules. Develop your skills and knowledge quickly, easily, when you need. They complement face to face events and more in-depth online modules.
The Accounts Receivable (AR) module of the University’s Finance System (CUFS) deals with managing customer information and managing income generated from sales and donations.
In this course we will be looking at some of the key aspects such as:
- creating external invoices
- creating internal invoices
- receipting income relating to invoices
- receipting other income
We will also provide you with some basic information relating to banking procedures and to the University’s Online Store (also known as eSales).
This session is provided for students who have a Disability Resource Centre referral for specialised one-to-one support. Bespoke sessions cover support for users with:
- Mobility issues, such as an upper limb disorder, where ergonomic keyboards and mice or speech recognition software may be required
- Visual impairment requirements where magnification or text scanning to alternative format can assist users to view a computer screen or read and listen to text
- Specific learning difficulties, who may find speech recognition software or mind mapping software useful
A session typically fall into 2 categories:
- Looking at available hardware, software or IT techniques that can aid in the development of tailored strategies and solutions to help users independently access computing facilities
- Providing training for Assistive Technology software packages to help users progress with the software
At time of booking please specify the following details in the Special Requirements box
- Name of person that referred you
- A brief outline of type of assistance required e.g. software training, workstation evaluation or general support and advice
- If you require wheelchair access to the venue
Date | Availability | |
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Thu 21 Mar 2024 | 11:00 | [Places] |
Thu 21 Mar 2024 | 14:00 | [Places] |
Tue 26 Mar 2024 | 11:00 | [Places] |
Tue 26 Mar 2024 | 14:00 | [Places] |
Thu 28 Mar 2024 | 11:00 | [Places] |
Thu 28 Mar 2024 | 14:00 | [Places] |
Thu 25 Apr 2024 | 11:00 | [Places] |
Tue 30 Apr 2024 | 11:00 | [Places] |
Thu 9 May 2024 | 11:00 | [Places] |
Thu 9 May 2024 | 14:00 | [Places] |
Tue 14 May 2024 | 11:00 | [Places] |
Tue 14 May 2024 | 14:00 | [Places] |
Thu 16 May 2024 | 11:00 | [Places] |
Thu 16 May 2024 | 14:00 | [Places] |
Tue 11 Feb 2025 | 11:00 | CANCELLED |
This writing retreat is designed to offer structured sessions of academic writing for PhD students who wish to come and work in a supportive environment, and discuss strategies for good working practices that accommodate neurodivergence. You do NOT need to have a confirmed diagnosis to attend this retreat.
We start the day with an introduction that discusses the kinds of challenges that Autism and ADHD can present in doctoral research, as well as strengths. This is followed by discussion sessions on finding adaptive ways to work when handling executive dysfunction, or issues with your environment. The rest of the day is dedicated to writing, with short sessions to test out new ways to approach your work.
You will be writing alongside fellow graduate students. There will be a ‘quiet room’ and a ‘noisy room’ to accommodate various working styles/activities, and attendees are welcome to bring along any fidget objects etc. that would normally help them focus. We will also bring a selection of these to try out!
If you have attended before you are very welcome to come again – feel free to skip the introductory talk or just go get settled in the ‘quiet room’ to start your work.
Lastly, tea, coffee and biscuits will be provided, but you will need to arrange your own lunch.
The Two-Day writing retreat is designed to offer structured sessions of academic writing for PhD students who wish to come and work in a supportive environment, and discuss strategies for good working practices that accommodate neurodivergence. You do NOT need to have a confirmed diagnosis to attend this retreat.
We start the first day with an introduction that discusses the kinds of challenges that Autism and ADHD can present in doctoral research, as well as strengths. This is followed by discussion sessions on finding adaptive ways to work when handling executive dysfunction, or issues with your environment. The rest of the first day is dedicated to writing, with short sessions to test out new ways to approach your work. The second day will be a dedicated writing retreat, with time in a comfortable environment to crack on with some writing! A full schedule for the two days will be sent out at least a week in advance.
You will be writing alongside fellow graduate students. There will be a ‘quiet room’ and a ‘noisy room’ to accommodate various working styles/activities, and attendees are welcome to bring along any fidget objects etc. that would normally help them focus. We will also bring a selection of these to try out!
If you have attended before you are very welcome to come again – feel free to skip the introductory talk or just go get settled in the ‘quiet room’ to start your work.
Lastly, tea, coffee and biscuits will be provided, but you will need to arrange your own lunch.
The purpose of this course is to familiarise students with the basic concepts of Bayesian theory. It is designed to provide an introduction to the principles, methods, and applications of Bayesian statistics. Bayesian statistics offers a powerful framework for data analysis and inference, allowing for the incorporation of prior knowledge and uncertainty in a coherent and systematic manner.
Throughout this course, we will cover key concepts such as Bayes' theorem, prior and posterior distributions, likelihood functions, and the fundamental differences between Bayesian and frequentist approaches. You will learn to formulate and estimate statistical models, update beliefs using new data, and make informed decisions based on the posterior probabilities generated through Bayesian inference. By the end of this course, you will possess the necessary skills to perform Bayesian data analysis, interpret results, and apply Bayesian methods in various contexts.
Across all AHSS disciplines (and within) there are varying views of what research is. Though not a definitive means by which to conceptualize research, this course offers Thomas Kuhn’s idea of the ‘research paradigm’ as a heuristic and expedient entry point into key terms and concepts often encountered by research students and the tacit assumptions underpinning them. This can and often does result in an ability to understand the significance of one’s own research, the research of others and the broader intellectual context in which both are situated.
Date | Availability | |
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Wed 1 May 2024 | 13:30 | [Places] |
Have you ever been concerned about a situation and wanted to help, but didn't? Hearing a racist/sexist/homophobic joke in the tea room? Seeing an inappropriate touch of a friend? Watching a colleague wince at being belittled or interrupted in a team meeting? You're not alone, this is more common for many of us than you might think.
This short session explores why this happens and what it means to be an active bystander. This includes simple changes and actions you can take to support others around you without confrontation and, over time, support a more inclusive environment for all of us to live and work in.
Access the recording of the being an active bystander webinar.
Better Decision Making: Bitesize
PPD bitesize resources are short and high impact; including videos, quick tips guides and interactive bitesize modules. Develop your skills and knowledge quickly, easily, when you need. They complement face to face events and more in-depth online modules.
This session will help researchers go further with their literature review through exploring key skills such as critical evaluation, structural reading, effective note-taking, and getting started with writing your literature review.
This session equips participants with all the fundamental skills that they need to build and execute effective search strategies to locate relevant materials for literature reviews, projects and other related research activities. The session will explore key searching techniques, where to search, how to troubleshoot common searching problems, as well as keeping up to date with the latest research.
This session will include live demonstrations of scientific databases to demonstrate the key principles covered in action.
Fair attribution for technicians through either co-authorship or direct acknowledgement in research publications is a key component of the ‘visibility’ and ‘recognition’ areas of the Technician Commitment, of which the University of Cambridge was a founding signatory in 2017.
However, there is currently no policy or standard practice for acknowledging the role of technicians, equipment and facilities in the University or the wider sector. Technicians experience a great disparity in their recognition and visibility in scholarly outputs.
This interactive workshop, organised by the Biological Sciences Libraries Team, will introduce you to the scholarly communications process as well as tools such as CRediT and ORCID, and facilitate conversation amongst peers.
This session introduces participants to the concept of research data, all the forms that it can take as well as negotiating the management of different data depending on their type.
Topics such as effective storage, handling sensitive data, and developing best practice approaches to avoid data loss during a project will be covered. The session will also explore how to create a data management plan (DMP) and the support available, as well as providing an overview of useful tools and services both within the University of Cambridge and beyond.
This session will introduce participants to different methods of communicating research before moving on to a discussion around best practice and techniques when preparing a presentation. Participants will be introduced to concepts around good design, accessibility, data presentation, and accessing Creative Commons licensed materials for their work.
The session will conclude with an exploration of good delivery techniques with additional advice on what to do if it all goes wrong.
Need to create a conference poster but are not sure where to start? This session will introduce participants to the fundamentals of designing an effective and engaging poster that is perfect for communicating research ideas. The session will look at good design practice, where to source free high quality graphics, as well as deciding what you should (and maybe shouldn't) include in your final poster.
This course is based on a typical literature review lifecycle. You start by planning your search. You then carry out your search. Once you've found some results, you evaluate what you have found to see if it is relevant to your needs. You manage your results by saving them to a suitable place so you can come back to them. If you are interested in tracking changes in your field, you enact approaches to keep up to date with new research. And as your research evolves, you refine your search to reflect new concepts and new terms. And so the cycle continues.
While you may not be as focused on the longer term tracking of new research in your field, being able to plan, search, evaluate and manage effectively are additional skills which we will cover in this course. The course will be structured around the first four stages described above, with optional additional information about the last two stages for those who are interested.
This course is supplemented by live workshop opportunities throughout the academic year.
This session discusses the benefits and challenges of maintaining an online presence as a researcher. Part of two sessions on this topic, this second session looks at using social media as a researcher. We will look at the practicalities and pros and cons of online engagement through tools such as Twitter/X, Mastodon, YouTube and LinkedIn.
Participants should expect to have the opportunity to critically evaluate the various options presented in this session with the overall aim of being better informed when deciding where to invest their time and efforts when building an academic presence online.
Using a reference manager is one of the best ways to look after crucial research literature, whether planning for a literature review or simply keeping track of developments in a particular discipline. This session will introduce Zotero, an open source reference manager tool.
Using live demonstrations, discussions, and troubleshooting common referencing issues, the session will give an in-depth look at how Zotero (and tools like it) can help maximise a research project workflow while also ensuring that critical resources and information are not lost at any point in the research process.
This short interactive module introduces you to Cambridge University Libraries and explains how to find resources for your subject. This module has a focus on the Biological Sciences strand of the Natural Sciences Tripos, and is suitable for anyone who is new to Cambridge.