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Our Centre for Health Informatics is expanding to meet demand for trusted health data research. This role is key to delivering major projects that help shape the future of health data in the UK
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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advanced electrical machines design, analysis, manufacturing, and testing. About You You should have a PhD or nearing completion of a PhD in Electrical or Mechanical Engineering or the equivalent in
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INTERNAL VACANCY Please note that this vacancy is only open to employees currently working within the Faculty of Engineering at the University of Nottingham. An exciting opportunity has arisen
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of Brewing Science (ICBS) at Sutton Bonington Campus. The role-holder will take responsibility for conducting research, developing research objectives and proposals for a specific project focused on
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qualified to deliver courses in the core curriculum of a Chemical and Environmental Engineering programme. The person appointed will also be expected to conduct ongoing original research for publication and
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About the role - The role-holder will be proficient at quantitative analyses and be support the wider inter-disciplinary research team in analysing quantitative data captured from a variety of sources. The role also involves lots of international partnership management and so language skills...
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The School of Health Sciences is looking for a passionate, hardworking health care student, on track to complete the 2nd year of their degree studies with a predicted 2:1 or above at the University
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, plant phenotyping, molecular biology, and the microbiome. The role involves working alongside a technician in Nottingham, and partners in the USA and Germany to conduct a large-scale genotype-by