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become an embedded member of both teams, joining a Senior Research Fellow and PhD student who engage in cross-technique research in a clinical setting. The hyperpolarised groups are strategically placed
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. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
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may also supervise PhD students and support junior colleagues. This post is full time and fixed term until 31/03/2028. Part-time working will be considered (minimum 0.8 FTE, 30 hours per week minimum
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close to completing) a PhD in statistical genetics, computational biology, bioinformatics, or a related quantitative discipline, with proven expertise in the analysis of large-scale sequencing data and
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at international meetings, and engage with collaborators across clinical and academic settings. Applicants should hold (or be close to completing) a PhD in statistical genetics, bioinformatics, computational biology
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team, and independently, are essential. You will also provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, plus PhD and project
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of the research group, including postdocs, research assistants, technicians, plus PhD and project students. You must have: A relevant PhD/DPhil (or be close to completion), together with relevant experience in
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hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: computational genomics, genetic or molecular epidemiology, medical statistics or statistical genetics. You must
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candidate will hold a DPhil/PhD/MD (or be near completion) or equivalent, have a proven track record in biochemical assays and imaging, and have the ability to work collaboratively within a team. It would be
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at meetings/conferences. • You must hold a relevant PhD/DPhil in Pharmacology or neuroscience (or be close to completion) with experience in conducting in vivo mouse behavioural experiments