24 computer-security-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" Fellowship positions at University of Nottingham
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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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The University of Nottingham are seeking to recruit a highly motivated and enthusiastic computational chemist for a Postdoctoral Research Associate/Fellow post within the research group of Professor
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synthesis) • Have excellent organisational, communication and team working skills, willingness to secure external funding through competitive applications and ability to learn new skills and instrumentation
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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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the scholarly uses of its rich historical archive. To incorporate the organisation’s history into its day-to-day activities. To secure the long-term survival of its archive. Few scholars have studied
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Gerada, the role holder will work with the academics, researchers and PhD students in managing and conducting research activities across the programme. Prior direct experience of successful PhD student
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, computational fluid dynamics of the nozzles, additive manufacturing robot programming through slicer and characterisation of the deposits through EBSD, TKD and TEM. The Centre of Excellence in Coatings and
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Applications are invited to join an ERC-funded research programme in the laboratory of Dr Vinay Shukla. The position is part of the project BreathingUnderground, which explores how oxygen
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, exhibiting improved drug-like properties and safety whilst retaining antiviral efficacy against a range human and veterinary RNA viruses. A major problem of all existing virus-targeting antivirals, such as
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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