Accelerate

Researchers using computational methods to study MRI scans say they can produce a more detailed picture of the structural architecture of the human brain than was previously possible.

PhD students and postdocs across Cambridge University can apply for a new training course that will equip them with skills in using data science to advance their research.

New grant funding is available to Cambridge University researchers pursuing innovative applications of AI.

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.

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.

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

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.

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.

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.

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.