577 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Oxford
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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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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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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We are looking for a Research Assistant Reporting to Prof Yee-Whye Teh. The post holder will be a member of Oxford Computational Statistics and Machine Learning (OxCSML) with responsibility
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to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and teaching across diverse fields, consistently ranking among the best in the world. Our
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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
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, together with relevant experience • Possess sufficient specialist knowledge in the marketing discipline to work within established research programmes • Ability to manage own academic
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using
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to deliver a clinical service component as part of their job plan. Queries about the post should be addressed to Professor Jonathan Rees, Head of Department and Director of the Botnar Institute