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Graduate School of Life Sciences course timetable

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Tue 19 Nov – Tue 2 Jun 2020

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November 2019

Tue 19
How to write an academic paper and get it published Finished 09:30 - 16:30 Postdoc Centre@ Mill Lane, Seminar Room

The course takes an evidence-based approach to writing. Participants will learn that publishing is a game and the more they understand the rules of the game the higher their chances of becoming publishing authors. They will learn that writing an academic article and getting it published may help with their careers but it does not make them better researchers, or cleverer than they were before their paper was accepted; it simply means they have played the game well.

Suitable for GSLS postgraduates in any discipline who are keen to learn how to write academic papers and articles efficiently as well as more established researchers who have had papers rejected and are not really sure why.

If you want a better chance of your name on a paper, this is for you!

Trainer

Olivia Timbs is an award-winning editor and journalist with over 30 years' experience gained from working on national newspapers and for a range of specialist health and medical journals.

Fri 22
The Engaged Researcher: Editing your Research Video new Finished 09:30 - 13:00 Postdoc Centre@ Mill Lane, Eastwood Room

Shot your research video? Got lots of video clips, photographs & audio you want to bring together to make one research video to share with public audiences around the World? Attendees on this course will learn how to cut, add soundtracks and do audio-mixing to edit their very own research video.

Fri 29
Core Statistics (1 of 6) In progress 10:00 - 13:00 Clinical School, E-learning 1, 2, 3 (Level 2)

This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

  1. Use R confidently for statistics and data analysis
  2. Be able to analyse datasets using standard statistical techniques
  3. Know which tests are and are not appropriate

R is a free, software environment for statistical and data analysis, with many useful features that promote and facilitate reproducible research.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory

After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques.

The Engaged Researcher: An introduction to planning and evaluating impactful public engagement new Finished 10:00 - 13:00 Postdoc Centre @ Eddington, Multi-function Room

This short course covers the what, why and how of public engagement and communication. The course is for research staff and PhD students who want to gain the skills and confidence required to plan and deliver an impactful public engagement project.

Core Statistics (2 of 6) In progress 14:00 - 17:00 Clinical School, E-learning 1, 2, 3 (Level 2)

This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

  1. Use R confidently for statistics and data analysis
  2. Be able to analyse datasets using standard statistical techniques
  3. Know which tests are and are not appropriate

R is a free, software environment for statistical and data analysis, with many useful features that promote and facilitate reproducible research.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory

After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques.

December 2019

Tue 3
The Engaged Researcher: Evaluation of Public Engagement new Finished 10:00 - 13:00 Postdoc Centre@ Mill Lane, Eastwood Room

Successful engagement with the public can benefit research, researchers and the public – but how do you go about demonstrating this change? Evaluation of engagement doesn’t just help us demonstrate the value of our PE initiatives but can help bring us closer to our audiences by giving the public a strong clear voice. This workshop will guide you through the best evaluation processes showing you When, Why and crucially How to use evaluation to give you reliable and clear data. Demonstrate success to funders; record Impact for REF; learn how to improve your processes and have a better understanding of the people you are connecting with. This course is going to be run by Jamie Galagher: Jamie is an award-winning freelance science communicator and engagement professional. He has delivered training around the world, from skyscrapers of Hong Kong to tents in the African bush. Having had four years’ experience as the central PE lead for the University of Glasgow he has worked on improving the reach, profile and impact of research engagement in almost every academic discipline. Specialising in evaluation Jamie provides consultancy services to charities and universities helping them to demonstrate their impact and understand their audiences and stakeholders. Jamie is also an associate editor of the Research for All journal. He was named as one of the “100 leading practising scientists in the UK” by the Science Council and as one of the “175 Faces of Chemistry” by the Royal Society of Chemistry. He won the International 3 Minute Thesis Competition and Famelab Scotland. www.jamiebgall.co.uk @jamiebgall

Fri 6
Core Statistics (3 of 6) In progress 10:00 - 13:00 Clinical School, E-learning 1, 2, 3 (Level 2)

This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

  1. Use R confidently for statistics and data analysis
  2. Be able to analyse datasets using standard statistical techniques
  3. Know which tests are and are not appropriate

R is a free, software environment for statistical and data analysis, with many useful features that promote and facilitate reproducible research.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory

After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques.

Core Statistics (4 of 6) In progress 14:00 - 17:00 Clinical School, E-learning 1, 2, 3 (Level 2)

This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

  1. Use R confidently for statistics and data analysis
  2. Be able to analyse datasets using standard statistical techniques
  3. Know which tests are and are not appropriate

R is a free, software environment for statistical and data analysis, with many useful features that promote and facilitate reproducible research.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory

After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques.

Thu 12
Core Statistics (5 of 6) In progress 10:00 - 13:00 Clinical School, E-learning 1, 2, 3 (Level 2)

This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

  1. Use R confidently for statistics and data analysis
  2. Be able to analyse datasets using standard statistical techniques
  3. Know which tests are and are not appropriate

R is a free, software environment for statistical and data analysis, with many useful features that promote and facilitate reproducible research.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory

After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques.

Core Statistics (6 of 6) In progress 14:00 - 17:00 Clinical School, E-learning 1, 2, 3 (Level 2)

This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.

There are three core goals for this course:

  1. Use R confidently for statistics and data analysis
  2. Be able to analyse datasets using standard statistical techniques
  3. Know which tests are and are not appropriate

R is a free, software environment for statistical and data analysis, with many useful features that promote and facilitate reproducible research.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory

After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques.

January 2020

Tue 21
The Engaged Researcher: Media training [Places] 10:00 - 13:00 Clinical School, Seminar Room 11

This course gives an introduction into how to engage with the public through media. It will cover the differing types of media, what makes research newsworthy, how to work with the communications office to gain media coverage, what to expect from an interview (print, pre-recorded, live) and how to communicate well in interviews. It will be delivered jointly with the University Communications team

Wed 22
The Engaged Researcher: Working with Museums new [Places] 10:00 - 13:00 Postdoc Centre@ Mill Lane, Seminar Room

Museums and collections are so much more than the objects they house. They are places of research, education and engagement, and they are open to members of the public in ways that departments and colleges are not. They can allow researchers to reach a range of diverse audiences. This training session will give you an insight into the breadth of activity ongoing at University of Cambridge Museums and how it could relate to your research and public engagement plans. After this training you will have a better understanding of the opportunities to work with museums.

February 2020

Tue 4

This short course covers the what, why and how of public engagement and communication. The course is for research staff and PhD students who want to gain the skills and confidence required to plan and deliver an impactful public engagement project.

Mon 10
Problem Solving and Innovation in a Research intensive Environment new [Places] 10:00 - 16:00 Postdoc Centre@ Mill Lane, Eastwood Room

This course has been designed to help graduates students and ECRs to develop their understanding of available tools and techniques which can aid with problem solving and innovation in a research-intensive environment.

The Engaged Researcher: Working with Schools new [Places] 10:00 - 12:00 17 Mill Lane, Seminar Room G

This short course will provide you with information about the UK school system, the reality of working with a school. It will cover ways in which the University already works with schools and how you can get involved. The course will help you decide whether working with schools is the right PE activity to achieve your intended outcomes. Finally, it will also provide you with a range of ideas of how to engage with schools and how to plan an activity. This course will be delivered with the Widening Participation team

Wed 12
Innovation and Enterprise - a commercial perspective new [Places] 09:30 - 16:30 Postdoc Centre@ Mill Lane, Eastwood Room

Provides an understanding of the UK and European landscape for researchers in the context of future careers and collaborations with industry. Also valuable for academics looking for a career move into industry. Provides an insight into what innovation really means and introduces the practical project management tools to implement innovative projects.

Mon 17
CSTP: Achieving Clarity in Academic Writing new [Places] 13:30 - 17:00 Student Services Centre, Exams Hall, Room AG03d

Achieving clarity in writing is not just about what’s written on the page – that is merely the final stage in a long and complex process. It actually starts with the interpretation of the question… From a linguistic perspective writing is actually rather straightforward, but the clarity of the ‘end product’, particularly in academic writing, is very much dependent on the clarity of all the stages that precede it. This session will examine this process and explores strategies to help you improve the clarity of your writing.

Tue 18
How to write an academic paper and get it published [Full] 09:30 - 16:30 Postdoc Centre@ Mill Lane, Seminar Room

The course takes an evidence-based approach to writing. Participants will learn that publishing is a game and the more they understand the rules of the game the higher their chances of becoming publishing authors. They will learn that writing an academic article and getting it published may help with their careers but it does not make them better researchers, or cleverer than they were before their paper was accepted; it simply means they have played the game well.

Suitable for GSLS postgraduates in any discipline who are keen to learn how to write academic papers and articles efficiently as well as more established researchers who have had papers rejected and are not really sure why.

If you want a better chance of your name on a paper, this is for you!

Trainer

Olivia Timbs is an award-winning editor and journalist with over 30 years' experience gained from working on national newspapers and for a range of specialist health and medical journals.

Thu 20
Critical Thinking and Bioethics new (1 of 2) [Places] 09:30 - 13:30 Postdoc Centre@ Mill Lane, Eastwood Room

As scientists, skills of critical thinking are well developed in hypothesis testing, observation and scientific projects. This workshop will incorporate other modes of logic and reason into scientific thinking.

This workshop will consist of a set of debates on current bioethical issues. We will then analyse and evaluate the presence and impact of critical thinking within those debates

PLEASE NOTE: This course consists of two half day sessions, with a week between sessions.

Thu 27
Critical Thinking and Bioethics new (2 of 2) [Places] 09:30 - 13:30 Postdoc Centre@ Mill Lane, Eastwood Room

As scientists, skills of critical thinking are well developed in hypothesis testing, observation and scientific projects. This workshop will incorporate other modes of logic and reason into scientific thinking.

This workshop will consist of a set of debates on current bioethical issues. We will then analyse and evaluate the presence and impact of critical thinking within those debates

PLEASE NOTE: This course consists of two half day sessions, with a week between sessions.

The Engaged Researcher: Introduction to Social Media Engagement new [Places] 10:00 - 13:00 Clinical School, Seminar Room 10

This course will cover how to use Social Media tools for Public Engagement. The course will be delivered by the Social Media and AV team.

April 2020

Tue 28
How to write an academic paper and get it published [Places] 09:30 - 16:30 Postdoc Centre@ Mill Lane, Seminar Room

The course takes an evidence-based approach to writing. Participants will learn that publishing is a game and the more they understand the rules of the game the higher their chances of becoming publishing authors. They will learn that writing an academic article and getting it published may help with their careers but it does not make them better researchers, or cleverer than they were before their paper was accepted; it simply means they have played the game well.

Suitable for GSLS postgraduates in any discipline who are keen to learn how to write academic papers and articles efficiently as well as more established researchers who have had papers rejected and are not really sure why.

If you want a better chance of your name on a paper, this is for you!

Trainer

Olivia Timbs is an award-winning editor and journalist with over 30 years' experience gained from working on national newspapers and for a range of specialist health and medical journals.

May 2020

Mon 11
Innovation and Enterprise - a commercial perspective new [Places] 09:30 - 16:30 Postdoc Centre@ Mill Lane, Eastwood Room

Provides an understanding of the UK and European landscape for researchers in the context of future careers and collaborations with industry. Also valuable for academics looking for a career move into industry. Provides an insight into what innovation really means and introduces the practical project management tools to implement innovative projects.

Fri 15
Problem Solving and Innovation in a Research intensive Environment new [Places] 10:00 - 16:00 Postdoc Centre@ Mill Lane, Eastwood Room

This course has been designed to help graduates students and ECRs to develop their understanding of available tools and techniques which can aid with problem solving and innovation in a research-intensive environment.

June 2020

Tue 2
How to write an academic paper and get it published [Places] 09:30 - 16:30 Postdoc Centre@ Mill Lane, Seminar Room

The course takes an evidence-based approach to writing. Participants will learn that publishing is a game and the more they understand the rules of the game the higher their chances of becoming publishing authors. They will learn that writing an academic article and getting it published may help with their careers but it does not make them better researchers, or cleverer than they were before their paper was accepted; it simply means they have played the game well.

Suitable for GSLS postgraduates in any discipline who are keen to learn how to write academic papers and articles efficiently as well as more established researchers who have had papers rejected and are not really sure why.

If you want a better chance of your name on a paper, this is for you!

Trainer

Olivia Timbs is an award-winning editor and journalist with over 30 years' experience gained from working on national newspapers and for a range of specialist health and medical journals.