All-provider course timetable

So much of research success relies on collaborations and professional networks. But many of us undersell ourselves and our achievements, or struggle to fit our whole career into a cohesive narrative. This is where personal branding comes in.

In this training, you’ll learn how to define your personal brand, and communicate that effectively through writing, presenting, images, websites and social media. You’ll do exercises which will help you see yourself from an outsider’s perspective, and be given the tools to make you the hero of your own story.

Dr Anna Ploszajski is an award-winning materials scientist, presenter, comedian and storyteller based in London. She’s a materials generalist, equally fascinated by metals, plastics, ceramics, glasses and substances from the natural world. Her work centres around engaging traditionally underserved audiences with materials science and engineering through writing, podcasting, presenting and social media. Having developed her own unique blend of autobiographical scientific storytelling in her first book, Handmade: A Scientist’s Search for Meaning Through Making, she now trains professional technical people to communicate what they do better, through the study of story. In her spare time, Anna plays the trumpet in a funk and soul covers band and is an ultra-endurance open water swimmer. Oh, and it’s pronounced “Por-shy-ski”.

The Programme offers general language tuition with a focus on communicative competence.

At a basic level, the focus is on every day and real-time, oral/aural communication. Each course features a functional-notional syllabus and grammar points are analysed in context.

For more detailed information about the course please visit our website.

This award winning 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 an open source programming language so all of the software we will use in the course is free.

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.

If you do not have a University of Cambridge Raven account please book or register your interest here.

• 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.

This course is aimed to provide the tools to create machine learning models in R using the CARET Library. This is a pre-requisite for the intermediate and advanced courses on supervised and unsupervised learning courses.

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.

A 20-minute session providing a chance to practice Chinese pronunciation, tones and general conversation.

This is an opportunity for the members of the University to go one-on-one with Tableau experts across the Business Information and Strategic Insights Team, who can help you solve challenges.

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.

The Programme offers general language tuition with a focus on communicative competence.

At a basic level, the focus is on every day and real-time, oral/aural communication. Each course features a functional-notional syllabus and grammar points are analysed in context.

For more detailed information about the course please visit our website.

PLEASE NOTE: This course is PRIMARILY FOR CLASSICISTS.

This weekly class is intended to help research students in the Arts, Humanities & Social Sciences to develop their skills in reading German documents they need to deal with in their research. Each session will be divided into two parts:

The first part will consist of grammar, tasks to develop insight into the reading process, help with dealing with complex sentence structures, academic conventions, abbreviations, etc.

The second part will be devoted to the translation of original German texts from different periods and covering a range of topics. Each week you will be asked to attempt a translation into English of a German passage. Students will be encouraged to bring along German texts from their own research to translate.

For more detailed information about the course please visit our website.

A visiting expert will share tips and strategies on writing effective blogs and English for social media.

The Programme offers general language tuition with a focus on communicative competence.

At intermediate 1 level, the focus is on every day and real-time, oral/aural communication. Each course features a functional-notional syllabus and grammar points are analysed in context.

For more detailed information about the course please visit our website.

The Programme offers general language tuition with a focus on communicative competence.

At a basic level, the focus is on every day and real-time, oral/aural communication. Each course features a functional-notional syllabus and grammar points are analysed in context.

For more detailed information about the course please visit our website.