59 proof-checking-postdoc-computer-science-logic Fellowship positions at University of Nottingham
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Applications are invited for the role of Research Associate/Fellow in the school of Life Sciences. We are seeking an enthusiastic and experienced postdoctoral research associate to join an exciting
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frontier science entitled "Divide and Thrive: Unravelling the unconventional dynamics and regulation of rapid cell division during Plasmodium male gamete formation” with the supervision of Professor Rita
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suited to candidates with interest in functional genomics, bioinformatics, lung cell biology and respiratory medicine. The successful candidate will also work in close collaboration with researchers in
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We are seeking to fill an open position for a research fellow/associate within the nanoscience group, based in the School of Physics and Astronomy, at the University of Nottingham. We are looking for an experimental leader with experience and expertise in ultra-high vacuum scanning probe...
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We are inviting applications for the post of Research Associate/Fellow to have specific responsibility for research, for developing research objectives and proposals for a National Institute for Health and Care Research funded project. The aim of this research is to use big UK electronic health...
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response for the European Centre for Disease Prevention and Control (ECDC). The Nottingham Centre for Evidence Based Healthcare, within the Faculty of Medicine and Health Sciences, is leading a work package
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The purpose of this role will be to have specific responsibility for research, for developing research objectives and proposals for a research project aimed at developing inorganic microspheres from waste materials using flame spheroidisation. The person appointed will be expected to plan and...
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An exciting opportunity has arisen for a Clinical Research Fellow to join Respiratory Medicine in the Translational Medical Sciences Unit at the University of Nottingham. The post is available as
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, with application in at least one of psychology, sociology, health science, environmental science or resilience. Skills in development, use and analysis of Causal Inference / Bayesian Network