296 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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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 successful candidate will need to be flexible and confident to lead a
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research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such will not be eligible. *Most applicants will be expected
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their skills outside PhD study, those who currently hold a research or academic-related position with a contract of 12 months or more will be considered to have achieved the aims of this programme and as such
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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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relevance. About you - You will: • Hold a doctorate in chemical engineering or a similar process-based discipline. • Have experience of creating and optimising chemical process models • Have a track
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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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fixed-term period. This key role will help deliver our comprehensive privacy enhancement programme as we modernise our privacy management framework in response to evolving legislative requirements
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Science wishes to expand its growing veterinary pathology team and is looking for an anatomic pathologist to join the team. This is a fantastic opportunity to contribute to the development of future
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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, 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