450 computer-science-intern "https:" "https:" "https:" "https:" "U.S" positions at University of Nottingham
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to conduct comparisons of their economic, technical and environmental performance. It is expected that the work will lead to publication and/or contribute to the dissemination at national/international
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, Health Sciences or a related field and have experience of qualitative research methodologies and techniques, as well as excellent written and interpersonal skills. Experience of research with vulnerable
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to understand plant performance and climate feedback mechanisms in the Middle Jurassic. The project will use an experimental framework, to link plant morphology and chemistry to measurements of ecophysiological
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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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Veterinary Educational Development Research Course: MRes (Master’s Degree by Research) Veterinary Science Project title: Developing consensus and guidance for the integration of exotic animal
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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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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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The University of Nottingham are seeking to recruit a highly motivated and enthusiastic computational chemist for a Postdoctoral Research Associate/Fellow post within the research group of Professor
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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