33 high-performance-quantum-computing-"https:"-"https:"-"https:" Fellowship positions at University of Nottingham
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from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena in 2D semiconductor materials
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This post is associated with ongoing research in the development and control of power electronic converters. Good communication skills are essential since the successful candidate will work closely with other colleagues and industrial partners. This is a full time, fixed term contract based in...
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This post is associated with ongoing research in the development and control of power electronic converters. Good communication skills are essential since the successful candidate will work closely with other colleagues and industrial partners. Based in Nottingham full time in office/lab. Start...
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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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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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, 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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Computer Science at the University of Nottingham is seeking a talented researcher with skills and experience in soft robotics, specifically in interactive materials to augment robot and human bodies
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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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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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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience