526 parallel-computing-numerical-methods-"Prof" Postdoctoral positions in United Kingdom
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. Familiarity with neurophysiological research methods (e.g. EEG and/or EMG), including participant setup, data acquisition, and preliminary signal quality checks. Experience with data management and research
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; • professional experience with force spectroscopy methods (e.g. optical tweezers, magnetic tweezers, or atomic force microscopy) is a plus; • interesting in developing a biochemistry skillset to enable
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About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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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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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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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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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