241 computer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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characterisation. You will be capable of managing your own research programme and associated activities, balancing multiple priorities while delivering high-quality outcomes. Experience contributing to peer-reviewed
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of Engineering Science (Institute of Advanced Technology, Begbroke Science Park) and in collaboration with Professor Demrot O’Hare in the Department of Chemistry. The post is funded by the EPSRC SOUNDCHEM Programme Grant
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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for a postdoctoral researcher with a strong background in epidemiology, biostatistics or a related field to contribute to the ATLAS Cancer Grand Challenges programme and the Unit’s broader portfolio
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research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal scope: As a University Assistant (Postdoc) you will be part of the Computational Communication
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(CGTRM) within the Faculty of Life Sciences & Medicine. We are seeking to recruit a postdoctoral research associate to contribute to an innovative translational immunology programme led by Professor Graham
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pension scheme 38 days annual leave A comprehensive range of childcare services Family leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and
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responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure
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. You will coordinate with another postdoctoral research associate, focused on computational modelling, and publish your research findings to achieve project goals. You will contribute to knowledge
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FAccT and AIES), as well as policy fora. Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning or a closely related