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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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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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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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at the University of Oxford and work collaboratively with academic partners at Warwick, Berkeley, Potsdam, Groningen and beyond. This post is based at the Department of Computer Science and on-site working is
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immediately on arrival. IOI, part of the Mathematical, Physical and Life Sciences Division, has access to world class expertise and resources in infection biology, organic and medicinal chemistry, pharmacology
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the responsible deployment of AI in clinical environments. To be considered, you must hold a Masters degree in engineering, mathematics or computational and have demonstrated experience in programming