All Department of Chemistry courses

There are 8 sessions in total DD1 to DD8 starting from 18th May and ending 10th June. The sessions are listed below:

DD1: Introduction to Drug Discovery and path to clinic Bobby Glen (UoC) 18th May, 10:00 - 12:00

SESSION CANCELLED DD2: Pharmacology + Biochemical and Biophysical methods Chris Stubbs (AZ) 20th May, 10:00 - 12:00

DD3: Structural Biology Gavin Collie (AZ) 25th May, 10:00 - 12:00

DD4: Hit generation methods and tactics Ben Whitehurst (AZ) 27th May, 10:00 - 12:00

DD5: Potency & thermodynamics Steve Atkinson (AZ) 1st June, 10:00 - 12:00

DD6: Computational methods (Session 1) - Modelling/MD/potency prediction/ML/AI Kathryn Giblin (AZ) 3th June, 10:00 - 12:00

DD7: Computational methods (Session 2) - Modelling/MD/potency prediction/ML/AI Bobby Glen (UoC) 8th June, 10:00 - 12:00

DD8: Impact of structures and physchem on DMPK/safety Jen Nelson (AZ) 10th June, 10:00 - 12:00

PhD research journey can present many challenges in our ability to maintain work life balance and work sustainably while progressing towards our goals. Addressing the challenges of work-life balance and sustainability in the context of a PhD is crucial for the well-being and effectiveness of researchers. This interactive session aims to create a space for researchers to hack key issues for developing sustainable academic practices and offers a toolkit of reliable, evidence-based strategies for wellbeing management

While leading others is often part of advancing our career – whether inside or outside of academia – often those in leadership positions do not receive training in how to lead and so do it badly. This full-day, practical and pragmatic course introduces participants to four essential ‘elements’ of leadership. In the process of doing so, it explores what leadership is and offers practical tools, strategies and examples to help you begin to lead others more effectively.

Join Cambridge Careers Consultant, Raj Sidhu for a discursive and interactive session where you will learn:

• What career options are open to you after a Chemistry PhD or PostDoc
• What alumni of the Department of Chemistry are doing now
• How to structure and approach career-thinking, during your PhD or PostDoc

All questions will be warmly welcomed throughout.

Trainer: Oleksandra Korychenska from Cambridge enterprise

What is Intellectual Property (IP)? Why does it matter to you? Who owns it? Who benefits? What is consultancy? What is a spin out? Why would you want to commercialise results from your research? What is it anyway? All this, and more, will be covered in a one-hour presentation by Cambridge Enterprise on the 12th of March. It is aimed at postgraduate students in Chemistry, after feedback showed that they would like to learn more about research commercialisation and IP. However, anybody is welcome to attend!

Training for PhD students:

Public engagement is increasingly seen as an important part of any research career, with the potential to give you the skills and insight to improve your research, make it more relevant and have impact. Rather than trying to engage with everyone, we’ll help you explore why you want to engage and who it would be valuable for you to have conversations with, and how, and where. We’ll introduce a logic model way of planning public engagement and sign post you to further training, support, advice and platforms for engagement across the University.

PhDs and Postdocs welcome, no prior knowledge required

Machine learning has become a common feature of many scientific papers, including chemistry, biology, and chemical biology. But what does it all mean? In this course, we will investigate the core features of common machine learning techniques such as principal component analysis (PCA), support vector machines (SVMs), and Random Forests, and how these can be applied to a real-world chemistry dataset. This course is meant to serve as a gentle introduction to machine learning - no prior knowledge is required.

Emma began her career as an experimental chemist, gaining her PhD in chemoenzymatic total synthesis under the tutelage of Prof. Hans Renata (The Scripps Research Institute, FL). During the course of her doctorate, she gained an interest in machine learning and how it can be applied to help chemists understand their systems. She thus joined the group of Dr. Alpha Lee (University of Cambridge) and later the group of Prof. Matthew Gaunt (University of Cambridge) to hone her expertise in computer programming, algorithm development, and machine learning for chemistry application.

'Enhance focus, reduce stress, use time more wisely and be more productive.

Learn to:

• Establish a method that works for you to enhance focus for the most important work (Deep Work)
• Reduce distraction and prioritise more effectively
• Establish 1 daily high quality mini break, to relieve stress, reduce self criticism and strengthen resilience
• Create the space to recognise your achievements each day - increase self awareness and confidence
• Combining proven neuroscience & mindfulness based techniques into useful daily habits.

In these sessions, Dr. Mukund S. Chorghade will discuss the pivotal role played by Process Chemistry / Route Selection in the progress of a chemical entity from conception to commercialization.

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