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Digitalisation: Rethinking AI for Just and Sustainable Futures programme. There is flexibility between working 0.2 FTE, up to 0.5 FTE. This is a fixed-term post where funding is available for 12 months in
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team and contribute to a programme of work led by Prof Pratik Choudhary around type 1 diabetes and technology. The appointed individual will have the opportunity to contribute to the real-world evidence
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. About You – You should be a graduate who has a degree in Biology or Biomedical Science or Medical Sciences or similar STEM subject, is able to work independently and be self-motivated, whilst being a
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: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
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: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
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directly with the program lead, Prof Rose McCab, Dr Alexandra Bakou (Trial Manager) and Maria Long (Trial Manager) in the School for Health Sciences, City, University of London.. The post will be based
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findings of the research at collaborator workshops and other scientific meetings. This is a great opportunity to work as part of a friendly team on a cutting-edge project. The RA will have access
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, purification and biophysical characterisation. You will work within a dynamic and collaborative research group investigating protein structure-function relationships, supporting fundamental science a with real
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview
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partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful