48 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "CNRS" Fellowship positions at University of Nottingham
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working with industry on a wide range of national and international projects. The researcher will be positioned within the Kemp Nano Electronics group (https://kempnanogroup.com/), which is focussed
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with local NHS Trusts, and is fully-registered by UKCRC (http://www.ukcrc-ctu.org.uk ). Our mission is to conduct high quality, high impact, multicentre trials to improve health and well-being. We
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. For information about the School of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . If you are interested in this position, please click Apply Now and
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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funded project aiming to characterise rhythmicity in human skeletal muscle metabolism and how exercise affects it. The post holder will be responsible for the day-to-day running of this programme of work
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working with Johnson Matthey, but aligned with the EPSRC funded Programme Grant “Dialling up performance for on demand manufacturing” (EPSRC reference: EP/W017032/1). Our vision is to create a toolkit and
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. Summary This programme of research builds on our previous studies where we identified genes we believe mediate pain and inflammation in the joints of patients with osteoarthritis. The aim of the current
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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab
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skeletal muscle metabolism. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division of Physiology, Pharmacology and
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Elena Besley to work on the “Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and Devices (NEED2D)” Programme Grant. The NEED2D project funds a team of UK scientists at Queen