524 parallel-computing-numerical-methods-"Prof" Postdoctoral positions in United Kingdom
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town-based football clubs as place-based communities in contemporary northern England, using a qualitative framework of biographical interviews and fieldwork methods. The project extends our work
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completion) or possess experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and have relevant research skills in order to work within the research programme
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genuine passion for interdisciplinary social science research; A robust conceptual and methodological foundation in the social sciences, with a solid skills in qualitative methods; Excellent communication
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batteries Conduct preliminary sustainability analyses to evaluate the environmental consequences of the chosen materials and fabrication methods Evaluate the long-term ecological responsibility
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The Department of Electrical Engineering and Electronics is offering an exciting opportunity to work with Sony Computer Entertainment Europe Ltd (UK) to develop next generation gaming environments
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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leading academic and industry experts, and an active academic/industry exchange program that aims to accelerate career development for the postholder employed on the project. About you The postholder should
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team and is interested in joining a programme of discovery research which aims to better our understanding of the underlying mechanisms that drive late-stage kidney damage in people with and without
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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situ/operando experiments and associated cell design is desirable. Familiarity with one or more of the following techniques is highly desirable: X-ray and neutron diffraction, computational chemistry