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Graduate School of Life Sciences course timetable

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Wed 13 May 2020 – Thu 20 Jun

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May 2020

Wed 13
Core Statistics (4 of 6) Finished 14:00 - 17:00 GSLS Online Live Training

PLEASE NOTE that this course will be taught live online, with demonstrators available to help you throughout if have any questions. All lecture components will be recorded and uploaded to the course Moodle page so that you will be able to access that information even if technical or time zone restrictions means that you aren't able to join us for the live sessions.

This virtually delivered course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environments. 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 or Python 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

Both R and Python are free software environments that are suitable for statistical and data analysis.

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 or Python and moreover know when, and when not, to apply these techniques.

Fri 15
Problem Solving and Innovation in a Research intensive Environment new CANCELLED 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.

Mon 18
FOCUS GROUP: Is Entrepreneurship and Enterprise at Cambridge Working for you? new CANCELLED 12:30 - 13:30 Postdoc Centre@ Mill Lane, Seminar Room

We are running a series of focus groups to gain a better understanding of the entrepreneurship and enterprise landscape at Cambridge for STEMM postgraduates. We welcome everyone to come along and share their experiences and thoughts about this subject with us. Whether you have previously gained entrepreneurship and enterprise experience or thought this is an area to build on as part of your post graduate training, your contribution to these sessions would be most valuable.

Lunch will be provided as a thank you for your time and contribution.

Core Statistics (5 of 6) Finished 14:00 - 17:00 GSLS Online Live Training

PLEASE NOTE that this course will be taught live online, with demonstrators available to help you throughout if have any questions. All lecture components will be recorded and uploaded to the course Moodle page so that you will be able to access that information even if technical or time zone restrictions means that you aren't able to join us for the live sessions.

This virtually delivered course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environments. 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 or Python 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

Both R and Python are free software environments that are suitable for statistical and data analysis.

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 or Python and moreover know when, and when not, to apply these techniques.

Wed 20
Core Statistics (6 of 6) Finished 14:00 - 17:00 GSLS Online Live Training

PLEASE NOTE that this course will be taught live online, with demonstrators available to help you throughout if have any questions. All lecture components will be recorded and uploaded to the course Moodle page so that you will be able to access that information even if technical or time zone restrictions means that you aren't able to join us for the live sessions.

This virtually delivered course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environments. 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 or Python 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

Both R and Python are free software environments that are suitable for statistical and data analysis.

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 or Python and moreover know when, and when not, to apply these techniques.

June 2020

Tue 2
How to write an academic paper and get it published (Life Sciences) CANCELLED 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.

July 2020

Wed 29
FOCUS GROUP: Is Entrepreneurship and Enterprise at Cambridge Working for you? new Finished 13:30 - 14:30 Phoenix 1, Phoenix Building, New Museums Site

We are running a series of focus groups to gain a better understanding of the entrepreneurship and enterprise landscape at Cambridge for STEMM postgraduates. We welcome everyone to come along and share their experiences and thoughts about this subject with us. Whether you have previously gained entrepreneurship and enterprise experience or thought this is an area to build on as part of your post graduate training, your contribution to these sessions would be most valuable.

This session will be held online via zoom. Joining instructions will be sent to participants two days before the scheduled focus group.

October 2023

Wed 4
BBSRC DTP Induction 2023 new Finished 10:00 - 13:00

« Description not available »

Mon 9
Introduction to R new (1 of 4) Finished 13:00 - 17:00

« Description not available »

Mon 16
Introduction to R new (2 of 4) Finished 13:00 - 17:00

« Description not available »

Mon 23
Introduction to R new (3 of 4) Finished 13:00 - 17:00

« Description not available »

Thu 26

« Description not available »

Mon 30
Introduction to R new (4 of 4) Finished 13:00 - 17:00

« Description not available »

November 2023

Thu 2

« Description not available »

February 2024

Wed 28

Join Sarah Cruise, a human communication expert, for two hours to explore the core skills of communicating effectively to engage with any audience. This workshop has been designed to cover various communication theories with illustrative demonstrations and practical exercises. Although this will be options should you not be able to take part. During this time you will cover: • the fundamentals of all good communication • two simple ways to enhance your own personal impact • tools for collating and structuring engaging and accessible content • guidance for creating effective visuals • and a model for handling interactive communications

You can find out more about Sarah on her website eloquential.co.uk and if you have any questions, accessibility issues or anything else you’d like to discuss prior to the workshop, you can contact her on sarah@eloquential.co.uk

March 2024

Thu 7
Copyright and your research new Finished 13:00 - 14:00

You own your own research right? Well it depends...

This session will explore the sometimes complicated world of copyright and what can happen when publishing work through formal routes such as journals or through more informal routes such as pre-print servers. The session will also introduce concepts such as third party copyright and rights retention, as well as how licensing tools such as Creative Commons can be used to not only help maximise the reach of research but also navigating reusing other people's work.

Mon 18
The Key to Communicating Well new CANCELLED 10:00 - 14:00 Bioinformatics Training Facility - The Pembroke Teaching Rooms

A highly interactive and fun session including group and individual work that takes a looks at what active listening is, how to use it, what impact it can have on our day to day communication and how to build an active listening practice.

April 2024

Tue 16
Making the Most of Networking new Finished 10:00 - 13:00 Bioinformatics Training Facility - The Pembroke Teaching Rooms

« Description not available »

Wed 24
Setting Boundaries and Saying No new CANCELLED 10:00 - 13:30 Bioinformatics Training Facility - The Pembroke Teaching Rooms

A participative session including group and individual work considering how setting boundaries can be helpful, which boundaries to set and how to establish and maintain them.

Fri 26
Getting to Grips with Challenging Conversations new CANCELLED 10:00 - 16:00 Bioinformatics Training Facility - The Pembroke Teaching Rooms

A full day session including group and individual work, enabling you to think about what a challenging conversation is, whether you need to have one, how to navigate it, if and when you and then how to help avoid further escalation of a difficult situation.

May 2024

Thu 23
Open access and you new Finished 13:00 - 14:30

This session will cover the basics of Open Access publishing, helping you to understand the benefits and practicalities of this important area of academia and how it relates to your research. We’ll discuss strategic drivers towards open access policies, including your funder requirements and why you need to deposit your PhD thesis. We’ll also demystify open access terminology, tell you exactly how to make your work available openly and discuss Creative Commons licencing, all while giving you lots of tools and support to make open access easy.

June 2024

Mon 10
How to Smash In-Person Networking new CANCELLED 10:00 - 14:00 Bioinformatics Training Facility - The Pembroke Teaching Rooms

A highly participative session including group and individual work. To help build your confidence when networking in-person; looking at preparation, who to approach, how to start and finish any conversations well and manage post event contact.

Wed 12
How to Smash Online Networking new CANCELLED 10:00 - 13:30 Bioinformatics Training Facility - The Pembroke Teaching Rooms

A participative online session including group and individual work, enabling you to feel more confident when online networking; looking at how if differs to in-person networking and what this means your approach and thoughts about it.

Mon 17

This session discusses the benefits and challenges of maintaining an online presence as a researcher. Part of two sessions on this topic, this first session looks at setting up your academic persona and using academic platforms. Starting with exploring what comes up through a quick Google search all the way through to maintaining profiles on academic sites, we will look at the pros and cons of online engagement. This will include tools such as ORCID, and networking sites such as academia.edu and ResearchGate.

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.

Thu 20

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.