64 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData" PhD positions at University of Nottingham
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, Computer Science and the Biosciences. You will be supervised by Amanda Wright (Optics and Photonics Research Group, Faculty of Engineering), Mike Somekh (Optics and Photonics Research Group, Faculty
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engineering excellence needed for the aerospace sector. In this PhD, high-fidelity two-phase Computational Fluid Dynamics (CFD) methods will be used to model complex and fundamental cryogenic hydrogen flows
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: Athletes, coaches
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learning, computational neuroscience, and cognitive science, and the student will work closely with both supervisors to move between these perspectives. We are looking for a candidate with a strong
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering to conduct cutting edge research into upgrading novel biomass feedstocks with industrial
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(School of Medicine), Teaching Associate – thomas.bestwick-stevenson@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall
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Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall theme
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: Interest in 3D printing, programming skills (e.g. Matlab), analytical chemistry, biochemistry/protein expression. This call is open to UK-Home students and to International students. Project start date and
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling