255 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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or computational frameworks, developed in collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The School of Education is responsible for the Postgraduate Certificate in Higher Education (PGCHE) programme
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. They will be responsible for the day to day leadership and management of the Capital Projects team and the successful planning and delivery of the Estates capital projects programme in support of wider
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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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Sustainable and Resilient Chemistry are developed in collaboration with industry and as a partnership of several disciplines including chemistry, engineering, biosciences, computer science and business, the
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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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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. We are looking for a friendly, engaging, enthusiastic person to join the Mathematical Sciences and Computer Science
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of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University