278 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United Kingdom
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- VIN UNIVERSITY
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have a PhD (or equivalent) in AI, Data Science, Computer Science, Biomedical Engineering, or a related field, or equivalent experience applying AI/ML to healthcare or biomedical data. Please view the job
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well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or related field, or equivalent experience. Please view the job description and person
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Modelling project brings together world-leading battery experts with a broad set of skills at every level to build the critical bridge between science and engineering, working alongside UK industry to ensure
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We are seeking a full-time Postdoctoral Research Assistant to join the Oxford Witt Lab for Trust in AI (OWL) at the Department of Engineering Science (Central Oxford). The post is funded by Schmidt
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academia or industry, with experience of both is an advantage. The position is funded by the EPSRC (Engineering and Physical Sciences Research Council) project: SUSTAIN - Sustainable heterogenoUs e-textileS
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technology with CoSTAR. It is initially fixed-term upto May 2028 (extensible subject to funding). The role is based at the Centre for Vision, Speech and Signal Processing (CVSSP, University of Surrey), which
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. This work will employ a combination of biochemical, structural and cellular approaches, including advanced live cell imaging and in vitro motility assays Click here to read more about the Way lab What you
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . Our Values and Commitments Our shared, stated values help
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projects Knowledge of clinical research structures Experience of interpreting microbiological information for clinical care (culture and sensitivities, serology, point of care tests, etc.) Experience