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to a variety of social and sports clubs About the Role This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation
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successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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the mechanisms underlying cognitive map failures in psychosis. You will plan and conduct experiments, analyse behavioural and neural data using computational methods to study planning and inference, contribute
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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volunteers. About you You will hold, or be nearing completion of, a PhD/DPhil in social policy, social work, psychology, public health, health services research, or a closely related discipline. You will have
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scale-up capabilities. The programme aims to accelerate the development of life-changing therapies while fostering academic-industry collaboration and economic growth. You should have a PhD degree in
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. Candidates are expected to be independent, highly motivated, and keen to work collaboratively with wet-lab and computational biologists within and outside the research groups. In addition to their own research
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chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your PhD to be
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Hours of work: Full-time Tenure: Fixed term until October 2029 We are seeking outstanding researchers with experience in developing and applying computational chemistry tools to materials discovery