590 computer-programmer-"Multiple"-"U"-"O.P"-"U.S"-"Prof" positions at University of Oxford
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, Humanities or other relevant subject. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will also have the ability
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study and academic research. Key Responsibilities: • Contribute to the MSc and MPhil in Japanese Studies teaching programme, including Research Methods, an Option course, and dissertation supervision
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-funded Strategic Longer and Larger (sLoLa) research programme entitled “An integrated analysis of S-acylation dynamics and its importance in cell physiology.” This collaborative, multidisciplinary project
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Thatcher Development Programme at Somerville College. The late Lady Thatcher, studied Chemistry at Somerville College Oxford from 1943 to 1946 and received bursary and scholarship support from the College
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demonstrate evidence of continuing professional development alongside excellent organisational skills with the ability to work flexibly and autonomously and contribute to / manage multiple projects at various
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their academic discipline (in this case, leadership). They are also engaging teachers (particularly for senior executive audiences) and effective executive education programme directors. For this position
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. The role includes leading statistical work for two major NIHR-funded initiatives: the Oxford BRC “Big Infection Diagnostics” programme and the Health Protection Research Unit on Antimicrobial Resistance
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computer science, bioinformatics, or a related computational discipline with experience and demonstrable background in analysing complex biological data. Essential requirements include expertise in machine learning