404 computer-science-intern-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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of benthic and demersal fish. The role is part of a grant led by University of Liverpool, funded by the Human Frontier Science Programme (HFSP), entitled Vibrational sensing and production in fishes
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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achievement of research objectives and deadlines by discussing with the Principal Investigator or Grant-holder and offering creative or innovative solutions. To liaise with research colleagues and make internal
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biological mechanisms. You will work closely with the project’s Research Fellow and Principal Investigator, as well as colleagues across the School of Veterinary Medicine and Science and the School of Pharmacy
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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, conservation and heritage science. The postholder will be based in the Department of Applied Mathematics and Theoretical Physics within the Cambridge Image Analysis group, a research team working on mathematical
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(PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in battery materials synthesis and device fabrication, advanced
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real