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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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related dementias later in life. You will hold a relevant PhD/DPhil (or be close to completion) in the field of mechanical or biomedical engineering, applied mathematics, or another field relevant
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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calculations and Brownian Dynamics simulations. The group is looking for a highly motivated and driven postdoctoral researcher to contribute strongly to a wave of ongoing developments deploying this technology
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling for geotechnical
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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period of up to 12 months in the first instance, with the possibility of an extension, subject to funding. The project entails the development of a kinetic Monte Carlo (KMC) framework for the simulation
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The Mobile Robotics Group (MRG) at the Oxford Robotics Institute (ORI) in the Department of Engineering Science at the University of Oxford is seeking exceptional candidates for a full-time