585 parallel-computing-numerical-methods positions at University of Oxford in United Kingdom
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Delivery Manager (Research Computing) IT Services Salary: £48,235 - £57,255 per annum Contract: Full Time, Permanent We have an exciting opportunity to join the IT Services Department as a Delivery
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Are you a Programme Administrator passionate about people, talent, and workplace culture? Join our dynamic Centre for Teaching and Learning team at the University of Oxford and help attract, support
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opportunity. The Entrepreneurship Centre at Saïd Business School is seeking an exceptional Programme Manager to join our high-performing Programmes Team. This is an exciting opportunity to help design, deliver
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Programme Manager (Research) Are you ready to shape the future of world-class research? Join the University of Oxford—a globally renowned centre of excellence and innovation. Our research tackles
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About the Role We are seeking a forward-thinking interdisciplinary postdoctoral researcher to join the recently established Oxford Consortium on Drugs for Drug-resistant TB (OxCoD4TB). This consortium pulls together expertise from all over the University, including in diagnostics, data science,...
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Programme Manager- GLAM Spanning the historic streets of the “city of dreaming spires,” the University of Oxford has been ranked the world’s leading university for nine consecutive years. A place
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Programme Manager (Digital Communications) Spanning the historic streets of the “city of dreaming spires,” the University of Oxford has been ranked the world’s leading university for nine
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We have an exciting opportunity for a new full-time Research Compute Data Manager to join the team at Institute of Biomedical Engineering within the Department of Engineering Science
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About the role We have an exciting opportunity to join the Draper Group in the Department of Paediatrics as our Clinical Research Fellow – Malaria Vaccine Programme. This role is focused
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challenge. We seek a senior computational biologist to apply these extensive in-house datasets toward the development of novel, domain-tailored machine-learning models and analytical methods. You will explore