176 scholarship-vacancy-for-phd-in-computational-physics Postdoctoral positions at University of Oxford in Uk
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sports clubs for those looking for more than just a great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 181008 . You will be
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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and how clonal hematopoiesis (CH) affects the normal physiological ageing process. You will work within a team that comprises of the Nerlov lab , working alongside other groups within the Molecular
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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will be required due to regulated activity involving children and ‘at risk’ adults. The successful candidate will hold, or have submitted a relevant PhD/DPhil (or equivalent) in a relevant discipline
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quality refereed journals and write reports for submission to research sponsors. You must hold a PhD (or be near completion) in a biomedical field of laboratory-based research (ideally immunology and/or
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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immediately. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your application. In your supporting statement
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new