699 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" Fellowship positions in United Kingdom
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devise and implement a new and/or revised process (e.g. new programme or a recruitment drive) Advise on personal development Contribute to administrative activities within the University (e.g. appeals
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Union DTP’s 23 thematic pathways and based at least 50% within the social sciences. The DTP expects to award up to four Fellowships. All details on the scheme and application process may be found
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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candidates with particularly strong or relevant profiles. Shortlisted applicants will be invited to participate in a programme of support activities hosted by the University, including online training sessions
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
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post or completed CCT and looking for the opportunity to undertake an out of program research project to result in the award of a PhD. You will have obtained MRCP or equivalent and be working towards
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post or completed CCT and looking for the opportunity to undertake an out of program research project to result in the award of a PhD. You will have obtained MRCP or equivalent and be working towards
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models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical
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projects, and contributing to the preparation of research proposals. The role involves conducting independent and collaborative research, identifying potential funding sources, and supporting the process of
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, with these collective factors also reducing the membrane lifetime. Cranfield are therefore working on a new generation of inorganic 2D materials to produce a chemically and physically robust reverse