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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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to: to develop and evaluate one pilot programme with our partners Two Lives London and their supply chain partners produce a set of case studies that would enable the Centre to identify & specify a full
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Manganese Impacts on the Future of Southern Ocean Ecosystems (IronMan) project, a NERC-funded Antarctic research programme. The project is focused on unraveling how the supply, biogeochemical cycling and
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research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific
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, molecular biology and mitochondrial biology. You will take responsibility for delivering a programme of experimental research, leading the optimisation of ovarian tissue cryopreservation protocols and
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We are seeking two full-time Postdoctoral Research Assistants to join the BOLD Lab at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for 12 months. This is an opportunity to join The British Open-ended Learning and Discovery (BOLD) Lab, a...
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of the Oxford Martin Programme on Geological Hydrogen, an interdisciplinary initiative investigating whether stimulated geological hydrogen can provide a low-cost, low-carbon and socially responsible
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research fellow to lead the computational arm of a Leverhulme-funded project investigating how cryogenic OrbiSIMS interacts with complex biomolecular structures. Working closely with experimentalists and
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at the University of Oxford. You will work with Professor Claire Nichols and Professor Chris Ballentine as part of the Oxford Martin Programme on Geological Hydrogen, an interdisciplinary initiative investigating