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the Hasso Plattner Institute. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor Paul Goldberg
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collaboration with the Head of Copyright and Licensing, a comprehensive copyright literacy programme at the Bodleian Libraries and throughout the University of Oxford. You will be required to: Respond
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successful candidate will hold a doctorate in the general area biomedical engineering, information engineering, electrical engineering, computer science or in a cognate discipline relevant to the requirements
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skills. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts internationally renowned
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About the role We have an exciting opportunity to join the Kavi Institute for Nanoscience Discovery (KINsD) in the Department of Chemistry as a Postdoctoral Fellow supervised by Professor Dame Carol
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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with expertise in obstetrics/obstetric medicine to play a senior role in delivering this highly clinically important research programme. The role will give you wide exposure to different research
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-time for 12 months About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and
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conventional boundaries and pursue hypothesis-led science. We will make every effort to support the successful candidate to research independence through the programme, and with training and mentoring
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are seeking an individual to join our data engineering team to deliver innovative data solutions that will transform scientific research and healthcare delivery. You will work as part of the health informatics