270 proof-checking-postdoc-computer-science-logic positions at University of Nottingham
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, the salary may attract an additional non-consolidated clinical supplement of up to 20% University of Nottingham, School of Veterinary Medicine and Science wishes to expand its veterinary pathology team with
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placement during your third year. Standard Programme Requirements Applications are invited from students with backgrounds in Bioscience, Biochemistry, Microbiology, Biotechnology, Environmental Science, Plant
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fit if you: Have a background in Biochemistry, biomedical sciences, organic chemistry and biophysics Are desire to explore the biochemical composition and biological activity of GAGs Are confident
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An exciting opportunity has arisen within the School of Veterinary Medicine and Science for an individual to join our technical team as a Stores Support Technician. This team plays a vital role in
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documents and collection items, including making custom-fit boxes. You will also support our exhibitions and public engagement programmes by creating mounts and supports for display items and helping
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the Postgraduate Certificate in Higher Education (PGCHE) programme. About our School/Department The PGCHE programme is housed within EDEN where tri-campus schools in China, the UK, and Malaysia are brought together
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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. You will have: 1) Post-graduate level, ideally qualified with a PhD (or close to completion) in Building Services Engineering, Mechanical Engineering, Control Engineering, Computer Science, Data Science
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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
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between the School of Education and the School of Mathematical Sciences. The Observatory is generating state-of-the-art, evidence-driven, and policy-relevant research to improve mathematical education