20 postdoc-parallel-computing Fellowship positions at University of Oxford in United Kingdom
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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Fellowships Programme aims to support and develop outstanding postdoctoral researchers with either a basic science or clinical background. The fellowships are for two years, supporting the researchers
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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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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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response to fungal infections, anti-fungal vaccine development. The post holder will be expected to attract external funding for their research. The successful applicant will be joining a new program at the
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researchers to obtain the Hulme Junior Research Fellowship with DPAG. The successful candidate will be expected to propose, plan and manage a high-quality programme of original research; publicise the outcomes
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(PAF) posts have been created to provide an opportunity for local trainees to experience research while remaining in the paediatric training programme. These posts provide an ideal opportunity for those
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of its strategic direction. A recognised authority in their field with primary responsibility for a programme of independent externally funded research projects. The post holder will lead the research
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intelligence and other new computing technologies. The Research Fellow will pursue their own research under the supervision of the Institute for Ethics in AI Director, Professor John Tasioulas. The successful
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Have, or be close to completion of, a PhD in an appropriate science (eg pharmacology, biochemistry, molecular biology, physiology, medicine, physics, computing, neuroscience), together with relevant