525 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" positions at University of Oxford
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the objective of discovering computational theories of dynamical systems. The post holder will report to the Principal Investigator. The post holder will be a member of research groups within the project, with
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher to apply statistical and computational approaches towards
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Programme Award on Molecular Mechanisms of Morphogen Signalling in the Tumour Microenvironment. This is an exceptional opportunity to work at the interface of structural biology and cell biology, exploring
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student researchers. Applicants should hold a first degree in Computer Science, Artificial Intelligence, Engineering, Physics, Mathematics or a related field. Previous experience with experience developing
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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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robust risk management across the portfolio. You will bring extensive experience in programme, project and portfolio management within complex organisations. You will have a proven track record in
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physiological systems and disease. The main duties of this post will be to undertake discovery science, secure external funding to prosecute an independent research programme and educate undergraduate and post
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supervision and research leadership for postdoctoral fellows, doctoral and Master’s-level students; the ability to play a major part in developing the Faculty’s research and teaching programme, including
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understanding of a range of software packages, including the Microsoft Office suite of programs, database computer programs, Autodesk or other CAD software. Application Process To apply, please upload: • A
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will play an important role in the development of next-generation programmable delivery systems for nucleic acids and biologics, with a focus on lipid nanoparticles (LNPs) and engineered extracellular