313 parallel-computing-numerical-methods-"Multiple" positions at University of Nottingham
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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substantial background in fluid mechanics. Essential skills: Strong knowledge of numerical methods Ability to work effectively in a team Desirable skills / experience: Experience of applying CFD to a complex
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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Residential Experience Manager. The successful candidate will be required lead on the delivery of the ResX Living and Learning programme as part of the wider ResX team. This is a wide-ranging role and the
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reports, evaluate and criticise texts and bring new insights. Ability to creatively apply relevant research approaches, models, techniques and methods. Ability to assess and organise resource requirements
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differences in motor unit behaviour across multiple muscles and contraction levels, using high-density surface and intramuscular electromyography (EMG), high-density electroencephalography (EEG), functional MRI
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apply relevant research approaches, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build relationships and collaborate with others
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maintaining and servicing specialist equipment, managing stock and procurement, and contributing to the development of technical methods and procedures. You will act as a recognised source of technical
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facilities. A popular method of doing so is to create vast battery storage facilities which require incredible sums of upfront capital and rely on lithium, one of (if not) the most intensively mined resources
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are recruiting a Research Fellow for