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The Mechanical and Aerospace Systems Research Group (MAS) requires an Experimental Research Fellow who is experienced in the field of multiphase computational fluid mechanics and aero-engine oil
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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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. The main purpose of this role is to provide administrative support for research projects at CEBD. This will include supporting the RAPID Eczema Trials programme; a National Institute for Health and Care
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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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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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to identify areas for research, develop research methods and extend their research portfolio. This work is international in scope and covers a wide range of different substantive issues and contexts. About the
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and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through the provision of training, continued support, and career progression
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scientific computing are essential. A Master’s degree would be desirable, but not essential, along with research experience in building methods for analysing/modelling neuroimaging data. The University