642 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions in United Kingdom
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are seeking a highly motivated Research
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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project: Atropisomerism as an Enabling Technology for Foldamers. This research programme aims to develop a new class of artificial oligomers – atropisomeric foldamers – in which molecular conformation is
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(CMHPE), utilising their mixed methods their mixed-methods (ideally qualitative and quantitative) expertise. The role includes planning, coordinating, executing, and reporting on evaluation and improvement
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of a PhD. • Expert knowledge of linear PDEs (in particular wave equations and elliptic equations), high-frequency asymptotics, and numerical methods. • Excellent communication and organisational
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, assembling, and testing electronic systems, and have familiarity with the principles and operation of optical imaging methods and technologies. Demonstrable skills in data processing and computer-aided design
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refine their design as they progress. We will work closely with co-investigators from the Ifakara Health Institute (Tanzania) to ensure the methods are feasible and implementable in disease-endemic
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friction welds. Work here includes the characterization of production machines using additional instrumentation, the simulation of the process using several numerical methods, and the development
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multiple stage metal hydride compressors, prototypes, system integration, next generation metal hydride materials, heat transfer media and novel hydrogen extraction methods. The role-holder will work in a
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
variety of research methods, such as scientific experimentation, literature reviews. Analyse and interpret data Contribute to developing new models, techniques and methods Disseminating research results