634 computer-science-programming-languages-"U.S" Postdoctoral positions in United Kingdom
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About the Role We are seeking a highly motivated and skilled part time (0.75 fte) Research Assistant to join the Oxford School of Nursing and Midwifery. This is an exciting opportunity to contribute to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered...
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. This role offers a rare opportunity to contribute to cancer interception science at the frontier of personalised prevention, with strong translational potential. We are seeking a talented and motivated
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for data analysis/scientific computing, and excellent decision-making, problem-solving, planning, and organisational skills. Please direct enquiries about the role to Prof Martin Bureau: (martin.bureau
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for data analysis/scientific computing, and excellent decision-making, problem-solving, planning, and organisational skills. The post is full time and fixed term until 30 June 2028. The closing date
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focus on advanced materials, additive manufacturing and sustainable development, including surface engineering, metamaterials and materials for ‘green' energy. We will address Greater Manchester's need
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instruction or plan/ deliver seminars relating to the research area. The successful candidate will have or be about to receive a PhD in mathematics, engineering or a closely related area, and have experience in
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ability to express yourself both orally and in writing Excellent German and English language skills Ability to work in a team and problem-solving skills In addition, we expect the successful candidate
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Materials & Composites Laboratory: https://eng.ox.ac.uk/mmclab/) in the Department of Engineering Science at Oxford University. The post is funded by the ERC Proof-of-Concept (PoC) grant: RESILIENT and is
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that changes to mechanical sensing, signaling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University
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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and