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Specification Hold or be close to obtaining PhD in theoretical physics or related area High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques
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knowledge on responsible innovation when AI is used to create, document, reactivate and conserve artworks and their archives. The successful applicant must have a PhD (or close to completion) in Philosophy
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testing of machine learning/AI algorithms Integration of radiomic and biological datasets Working closely with Medical Physics colleagues on reviewing recommendations for detection of specific metabolites
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and innovation. Experience working with robotic systems, automation, or advanced manufacturing technologies. A collaborative mindset with a commitment to interdisciplinary research. A PhD (or working
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signalling (e.g. calcium fluxes/signalling), root development, and molecular cell biology. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a related area of biological
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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed
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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area 3+ years’ post-doctoral or equivalent industry experience in omics with preferably focus
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. They will have the opportunity to guide and mentor more junior members of the group. Candidates are expected to have a good background in dependent type theory and category theory. They should hold a PhD or
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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area 3+ years’ post-doctoral or equivalent industry experience in omics with preferably focus
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: Engage with clinicians and patients in a collaborative co-design process to develop and test (using health psychology theory and methods) innovative, evidence- and theory-based tools, including: (i