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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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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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and outside of the University. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application
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of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, OX1 3TA and is available as soon as possible. Application Process
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immediately. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your application. In your supporting statement
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discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications
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carboxylic acids. This will exploit the ability of the nickel-iron hydrogenase enzyme to activate hydrogen gas under mild conditions to unlock mild and selective hydrogenation and dehydrogenation processes
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computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be
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exploring B cell migration in the spleen. The successful candidate will have extensive experience in handling and processing live spleens and an established expertise in live imaging of this organ. As a
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insights into the disrupted biological processes underlying cancer. This project is initially funded until March 2027 and is part of a collaborative initiative supported by the Oxford Cancer Centre