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Department of Computer Science and Technology

Read more at: New Python for Science course will help researchers learn programming skills

New Python for Science course will help researchers learn programming skills

24 May 2022

A new self-learning module is being offered to help researchers across the University of Cambridge learn programming in Python. Meanwhile, applications have also just opened for the next Accelerate Data Science Residency.


Read more at: AI for science: frontiers, opportunities and challenges

AI for science: frontiers, opportunities and challenges

2 November 2021

How can we harness the potential of AI to accelerate scientific discovery? The frontiers, opportunities and challenges of doing so will be discussed at a symposium on 19th November.


Read more at: Accelerate Programme funds PhD studentships in Computer Science

Accelerate Programme funds PhD studentships in Computer Science

25 October 2021

A programme here promoting the use of machine learning to tackle major scientific challenges is offering funding for PhD students starting next autumn.


Read more at: July Data for Science Residency: applications open

July Data for Science Residency: applications open

14 April 2021

PhD students and postdocs across Cambridge have another chance to apply for a funded training course that is successfully equipping scientists with powerful tools to progress their research.


Read more at: An AI revolution in science? Using machine learning for scientific discovery

An AI revolution in science? Using machine learning for scientific discovery

23 March 2021

An April event hosted by the Accelerate Programme for Scientific Discovery here will explore how AI can help advance the frontiers of science and how researchers can benefit from using AI in their work.


Read more at: Free 'Data for Science' training course for Cambridge researchers
Image shows participants in the first Accelerate Data for Science Programme

Free 'Data for Science' training course for Cambridge researchers

27 November 2020

We are offering science PhDs and postdocs across the University of Cambridge the free 'Accelerate-Spark Data for Science' training course in February to help them apply data science tools to their own datasets and research problems.


Read more at: New Fellows will help Accelerate Discovery
Image shows Early Career Fellow Bianca Dumitrascu

New Fellows will help Accelerate Discovery

18 November 2020

Four Early Career Fellows have just joined our Accelerate Programme to help researchers across the University advance the frontiers of their work through the application of AI.



Read more at: Contacts

Contacts

Neil Lawrence, Programme Director Jessica Montgomery, Executive Director Carl Henrik Ek, Senior Lecturer in Machine Learning Programme Coordinator Bianca Dumitrascu, Accelerate Early Career Research Fellow Bingqing Cheng, Accelerate Early Career Research Fellow Challenger Mishra, Accelerate Early Career Research Fellow...


Read more at: Accelerate Programme for Scientific Discovery

Accelerate Programme for Scientific Discovery

Artificial intelligence (AI) has the potential to become an engine for scientific discovery across disciplines – from predicting the impact of climate change, to using genetic data to create new healthcare treatments, and from finding new astronomical phenomena to identifying new materials here on Earth. The Accelerate...