The Alan Turing Institute

Data Study Groups are intensive, collaborative hackathons which bring together organisations from industry, government, and the third sector, with talented multi-disciplinary researchers from academia. Organisations act as Challenge Owners, providing real-world problems to be tackled by researchers.

The events provide a fantastic opportunity for early career researchers to rapidly develop their data science skills using real-world data. The event also offers participants the chance to forge new networks for future research projects and build links within The Alan Turing Institute and industry. We encourage PhDs, postdocs, those with equivalent non-traditional qualifications/experience and other early career researchers to apply.

The challenges are:

• Modelling Amyloid Beta Plaque Formation in Alzheimer's Disease
• Predicting functional relationship between DNA sequence and epigenetic state: Can computational models pay attention to distant genomic variants which experiments show affect chromatin activity?
• Using machine learning to improve sleep habits in Dementia patients
• Automated assessment of vascular perfusion
• Improving the resolution of protein structure imaging

Please note that due to COVID-19 the Data Study Group will be run remotely over three weeks.

For full details of this format, including the time commitment involved, please read the event page.