173 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oxford
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activities for the project. The successful candidate will hold, or be about to attain, a relevant PhD/DPhil (or equivalent) in a relevant discipline together with specialised experience in mental health 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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determined by the funding available. About you You should hold, or be near completion of, a PhD/DPhil in Molecular Microbiology, Biochemistry, Biophysics or related discipline. You must have substantive
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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used for all aspects of cell/molecular biology/biochemistry. It is essential that you hold a PhD/DPhil (or close completion) in molecular biology, biochemistry, cancer research or a related life science
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We are looking for an excellent post-doctoral candidate with a PhD / DPhil (or near completion) in quantum optics, solid state quantum physics, magnetic resonance or related areas. The successful
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completion, of a relevant PhD and have experience analyzing high-throughput sequencing data. Excellent communication skills and the ability to present your work and contribute to publications is essential
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molecular biology. A PhD/DPhil in Biochemistry, Cell/Molecular Biology, or a related field is essential with relevant laboratory experience. The candidate must hold a Home Office Personal Licence (PIL A/B
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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should possess a PhD/DPhil in engineering, physics or applied mathematics, and hold a strong publication record in your field. You should have expertise in numerical or experimental modelling (preferably