86 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"https:"-"BioData" positions at University of Nottingham
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cancer: establishing mechanisms of adaptation to advance optimisation and stratification”. You will be expected to plan and conduct work using wet-lab approaches and methodologies and will be responsible
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portfolio. You will be required to have strong organisational and data analysis skills. You will be expected to plan and conduct work using approaches or methodologies and techniques appropriate to the type
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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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About the role – The role is part of a large collaborative project Ocean Refuel (Home | Ocean REFuel) looking to use hydrogen from offshore renewables and optimise its use in a decarbonising UK energy system . Your focus will be to explore (computationally) the most promising processes to form...
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computational solid-state physics/ chemistry. Candidates with experience in the synthesis, the characterisation and performance testing or modelling of metal hydrides, complex hydrides and/or their composites
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individual with a 1st or a 2:1 degree from Mechanical, Manufacturing, Mechatronics Engineering, Computer Science or other relevant field. The candidate should have excellent analytical and communications
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our School, the Institute for Name-Studies and working here. We are committed to a Strategic Delivery Plan for Equality, Diversity and Inclusion (EDI) and we warmly welcome applications from under
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. This includes responsibility for ensuring our programmes offer an equitable and high-quality academic experience, for developing access pathways and apprenticeship programmes, and for embedding a culture of
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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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student to revolutionise electrical machine design and development based on programmable 3D electrical steel technology enabled by advanced manufacturing processes and emerging magnetic materials