400 computer-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of Oxford
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an ongoing programme focused on metabolic profiling and target validation to support TB drug discovery. The role will involve the application of liquid chromatography–mass spectrometry (LC-MS
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Horby, you will lead a specialist grant-funded research programme contributing to the scientific direction and outputs of the wider group. You will lead a programme of research on acute respiratory
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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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tuberculosis . The post is full-time and available immediately. The post holder will be responsible for carrying out research within a defined area of an ongoing programme focused on metabolic profiling and
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The Duarte Group is a leader in computational chemistry, developing predictive tools for reaction modelling and molecular design across catalysis, sustainability, and health. We create widely used
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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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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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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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Learning and Teaching. The PGCE, which is commonly known as the Oxford Internship Scheme, has an international reputation for both the quality of the programme and the innovative thinking that has
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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