42 parallel-computing-numerical-methods Fellowship positions at University of Nottingham
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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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well as the characterisation of responsive matrices will be required for the role. Experience in controlled polymerisation techniques, advanced pharmaceutical characterisation and analytical methods, such as LC-MS/MS and HPLC
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capture data from these; establish new concepts, methods and tools; prepare and deliver publications; participate in the community programme of events; and undertake visits and placements at industry and
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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of Finite Element Method, and FEniCS/Firedrake/Dune. Excellent communication and organisational skills. The ability to work independently and as part of a multidisciplinary and multicultural team. Networking
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holder will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio within the broad thematic area of anti
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Grantham; this is easily possible using public transport. The role-holder will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend
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methods and expand your researcher portfolio. Candidates should hold a PhD (or be near completion). Evidence of previous experience in smouldering experimental and modelling work is essential. The candidate
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(https://qomix.weebly.com/), which is focussed on quantum science with ultracold atoms and quantum technologies based on advanced 3D-printing methods. Our areas of interest include fundamental questions in
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related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as part of a multidisciplinary team. They will be excited