536 parallel-and-distributed-computing positions at University of Oxford in United Kingdom
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We are seeking to appoint a new Research Assistant to support our growing programme in tumour immunology and liver cancer. As part of this role, you will be responsible for the provision of research
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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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of Computer Science (20%). Under the joint supervision of the project co-leads, Dr. Carina Prunkl (Institute for Ethics in AI) and Dr. Jun Zhao (Human Centred Computing), the postholder will contribute
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. For candidates interested in research beyond the current post, there may be opportunities available to develop a programme towards a higher degree (PhD) in an associated topic. You will be working in a growing
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Schwarzman Centre for the Humanities. The Fellow will have opportunities to work with the Cultural Programme and the Oxford Research Centre for the Humanities (TORCH) and to make use of the Schwarzman Centre’s
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posters locally and at national and international conferences, as well as participate in MRC grant’s research programme led by Prof Marco Fritzsche. You must hold a relevant PhD/DPhil (or be near completion
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of Ophthalmology and will further develop, expand, and diversify Oxford’s portfolio of internationally competitive research in Ophthalmology/Visual Science. The Chair will develop and lead their own programme of
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and enjoys providing high quality customer service, whilst also ensuring what you deliver is completed in a safe way. You will be computer literate, have great communication skills, and be confident in
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, including the Admissions and Outreach Coordinator (line manager for this role), the Project Manager for the departments’ new GCSE Mentoring programme, and the Outreach Learning & Development Content
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Danaher corporation and its subsidiary Cepheid. This research is part of the Beacon programme ‘Development and prospective evaluation of point-of-need test for sepsis subtyping based on gene expression