269 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at University of Oxford
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the Engineering and Physical Sciences Research Council (EPSRC) and is fixed-term for up to thirty six months. This position is part of the recently funded EPSRC Programme Grant “EEBio: Efficient engineering and
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and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The Botnar Institute for Musculoskeletal Sciences enables and encourages
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accurate, balanced advice to Divisional leadership. A programme of work experience, shadowing and formal training will be created with you to develop key areas to aid your long-term career progression. You
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sufficient specialist knowledge in the discipline to work within an established research programme along with experience of following and adapting protocols and selecting appropriate experimental methodologies
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. Working closely with faculty, Head Tutors, Tutors and programme teams, the postholder will ensure the effective delivery of high-quality academic content and live learning experiences that promote
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Garcia-Beltran at the Ragon Institute, Harvard, USA. This remote role will support a collaborative translational immunology research program focused on faster diagnosis, accurate prognosis, and identifying
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offered by the Department of Education, predominantly the Postgraduate Certificate in Education (PGCE) Science programmes, but also the MSc in Learning and Teaching (MLT) programme. For this post, the
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of the programme and the surveillance systems. You will act as the ‘first point of contact’ and will ensure effective communication and liaison with all collaborating organisations and individuals to ensure
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. This is an exciting opportunity for an experienced statistical programmer with a strong background in large-scale database management, data linkage, and programming. The appointee will work closely with
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, including: • Flexible Hybrid Working: A work setup that combines office and remote work. • Excellent Contributory Pension Scheme: We help you plan for your future. • Generous Annual Leave: 38 days