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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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hold, or are close to completing, a PhD in robotics, robot learning, or a closely related field. You possess strong expertise in deep learning and robot navigation, with hands-on experience in deploying
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contribute to the strategic vision and long-term planning of Oxford’s research in technical AI governance. You should possess a PhD/DPhil in machine learning, computer science, engineering, or a closely
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the multidisciplinary environment of the Stevens Group and collaborate with external research groups. Selection criteria: • Hold, or be near to completion of, a PhD/DPhil in biochemistry, chemistry, nanotechnology
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, machine learning, or good software engineering practices would be an advantage. The successful candidate will be required to access data held by the UK Health Security Agency in order to undertake this role
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to adel.bibi@eng.ox.ac.uk For more information about working at
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experience in machine learning and image analysis for ultrasound images and video. The successful applicant will possess specialist experience conducting fieldwork, particularly in low-resource or rural
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subjects: computational biology or machine learning, statistical genetics and/or have relevant post-qualification experience in quantitative, genomic or molecular epidemiology, or statistical genetics. You
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in