514 parallel-and-distributed-computing positions at University of Oxford in United Kingdom
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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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role within a dynamic and growing institution, offering a rare opportunity to shape and develop the College’s alumni relations and engagement programme from its foundation. The College seeks a proactive
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-cycle, supporting multiple Sprint teams, the Management group and Executive Board and being responsible for administrative and operational processes that underpin the success of the programme. The
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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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Senior Quality Assurance (QA) Analyst, IT Services Are you a highly skilled Senior Analyst, passionate about software quality, innovation, and continuous improvement? Join our dynamic IT Services team at the University of Oxford and help shape the future of product testing across our...
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person Strong organisational skills and attention to detail • Good computer literacy (including Word and Excel) The ability to manage competing tasks with confidence and care Sponsorship and Right to Work
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About the role The postholder is expected to lead the strategic and operational coordination of space and room booking across the academic, commercial and cultural spaces in the Schwarzman Centre for the Humanities. You will also be expected to play a key leadership role in developing booking...
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme, focused on understanding and preventing disease progression in
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods