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The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science has a new opening for a Project Support Officer, working together with Professor Yarin Gal. In
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background in (computational) physics or another exact science at an academic level • A background in software engineering • Aptitude for understanding and analysing scientific concepts • Proeficiency in
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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
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testing new approaches. There may also be some expression and purification of recombinant enzymes such as methylases. There may be scope for some bioinformatic/computational analysis, but this is primarily
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degree (or currently be enrolled in a master’s programme) in a relevant field, as well as experience with qualitative data analysis. You will possess strong academic writing, presentational, and critical
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basis • Collaboration with other teams within the program for delivering inter-disciplinary tasks • Prepare and host Innovation Management Seminars x2 • Chairing periodic Meetings of Innovation Management
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Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key
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are seeking an individual to join our data engineering team to deliver innovative data solutions that will transform scientific research and healthcare delivery. You will work as part of the health informatics
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, computational modelling, and in vivo physiology—to dissect cholesterol‑mediated modulation of key receptors like Glucagon receptor and GLP‑1R, with direct relevance to metabolic disease therapeutics. The Siebold
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audiences and an ability to work well independently using own initiative, as well as part of a team. Experience in a variety of advanced microscopy techniques and computational biology expertise are desired