148 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at University of Oxford
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PhD/DPhil in Computer Vision or Machine Learning (or be near completion) and hold a strong publication record in this field. You must have sufficient theoretical and practical knowledge of methodologies
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will write research articles and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics
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. This position is offered full time on a fixed term contract until 30 September 2027 and is funded by GSK. Interviews will be held on 4 June 2025. Only applications received before 12 midday on 22 May
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. This position is offered full time on a fixed term contract for 12 months and is funded by the British Academy. Please note that all shortlisted candidates will be invited for interview in the week
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About the role Applications are invited for a Postdoctoral Research Associate in computational and experimental mechanistic studies of organometallic catalysis to work under the supervision
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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solid state materials. The position is available for a fixed term for 36 months The project will have a particular focus on studying exciton scattering in semiconductors and insulators, and understanding
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be considered. You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and
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of extension depending on funding. The Oxford Ion Trap Quantum Computing group currently hosts one of the world’s highest performance networked quantum computing demonstrators, capable of remote Bell-pair
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About the role A position is available for a highly motivated Postdoctoral Research Associate to join the research group led by Prof Carlo Rinaldi at the University of Oxford. The group explores