168 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions at University of Oxford
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be considered. The University of Oxford and The School of Geography and the Environment are Silver Athena SWAN holders. Applications are particularly welcome and encouraged from women, black, and
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submissions, and ensure all documentation associated with laboratory H&S is kept up to date. It is essential that you hold a relevant PhD/DPhil (or close to completion), in virology, diagnostics and/or
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PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in computational chemistry, including machine learning
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methods relevant for drug discovery analysis pipelines, trial design and operational efficiency. Other responsibilities will include helping with supervision of PhD students working on projects as part of
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opportunity for a researcher passionate about translational cancer research and making a meaningful impact in the field. About you You will hold a PhD (or be close to completion) in a relevant field such as
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research will feed directly into the broader goals of this programme to assess the suitability of various approaches to GGR. About you You will hold or be close to a PhD in Aqueous/Environmental/Ocean
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, including projects that could support future fellowship or independent position applications. Applicants should hold, or be close to completion of, a PhD/DPhil in biochemistry, molecular biology, structural
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in top-tier scientific journals. It is essential that you hold a PhD/DPhil (or close to completion) in tumour immunology or a related life science field together with background in cancer research. You
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sciences discipline, you will be self-motivated, imaginative and able to plan and deliver a research project. You will have a PhD (or be near completion) in one of the above disciplines and have experience
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related