57 proof-checking-postdoc-computer-science-logic Fellowship positions at University of Nottingham
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on the estimation of parameters for newly developed models which decompose the drivers underlying decision-making. The work has a strong focus on developing better-explainable AI on the computer science side, while
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(Internal Only) The Mechanical and Aerospace Systems Research Group (MAS) requires a Senior Research Fellow who is experienced in the fields of safety critical engineering relating to Thermofluids
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About the role - Applications are invited for a Research Associate/Fellow in the department of Chemical and Environmental Engineering to join an exciting project. The project is focused
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; and /or writing articles for peer-reviewed journals in social sciences and beyond; and /or strong methodological expertise; and/ or ability to translate academic findings into practical implications e.g
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therapeutics using the Nobel Prize winning technology of phage display. The post is based at the School of Veterinary Medicine and Science (SVMS), University of Nottingham, working in close collaboration with
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The Nottingham Transportation Engineering Centre (NTEC) is seeking a highly motivated Research Associate/Fellow for a full-time (36.25 hours) position in the field of sustainable pavement
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recovery polymers at a lab scale, employing strategies such as emulsion polymerisation, high-throughput screening, microfluidic flow chemistry techniques, and purification methodologies. These methodologies
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will be working closely with colleagues within the Business School and across the hub to conduct primary research and develop social-science informed approaches to translating hub innovations into policy
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for evidence. You will work across a range of projects utilising quantitative and qualitative methods. Depending on the skills of the appointee this may include health economics. You will have experience in
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), behavioural experimentation and analysis, statistical data analysis (e.g. in R), molecular biology lab skills and familiarity with relevant scientific literature. Applicants must have, or be very near