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Institute. This role is especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social
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at conferences and seminars. The successful candidate will be required to work in collaboration with other postdocs and PhD students in the lab. As such, the ability to work in a team is essential. This role will
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(pcmlab.co.uk ) to develop a prototype tool for utilizing this prediction tool in a clinical environment. About You You will have expertise in deep learning and programming. Experience working with medical
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(pcmlab.co.uk) to develop a prototype tool for utilizing this prediction tool in a clinical environment. About You You will have expertise in deep learning and programming. Experience working with medical imaging
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Synthase cofactor, in a collaborative project involving King’s College London and Imperial College London (Dr Daniel Wilson, Dr Maxie Roessler). Applicants should have a PhD in synthetic chemistry, ideally
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must either have a PhD in a relevant biological subject or have submitted or about to submit their PhD thesis. Candidates must also have demonstrable expertise in biochemistry, cell biology and/or
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Institute for NanoScience Discovery and is available from October 1st, 2025. About you Applicants must hold a PhD in Chemistry, Biochemistry or a relevant subject area, (or be close to completion) prior
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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of instruction and the planning / delivery of seminars relating to their research area. The successful candidate will have completed (or expect to soon be awarded) a PHD in Theoretical Physics or closely related
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findings and present to project leads at GSK. It is essential that you hold a PhD/DPhil (or are close to completion) in a biomedical or other relevant subject. You will need to demonstrate skills and