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Oxford-DeepMind Graduate Scholarship (Computer Science) The Oxford-DeepMind Graduate Scholarships (Computer Science) are available for applicants to any full-time DPhil course within, or affiliated
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relevant first degree, technical qualification, or equivalent industrial experience. They should have experience undertaking mechanical engineering design tasks, including proficiency with CAD and/or FEA
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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strong background in experimental fluid mechanics and hands-on experience with microfluidics and flow characterization, including flow-cell design and fabrication, pressure measurement, imaging, and image
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, and PhD and project students. This is on a part-time basis to enable other career development commitments. About you You will have a clinical qualification with current GMC registration, along with
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research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and
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. Keith Channon – a 5 year renewable award that underpins the work of the group. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of
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considered of Assistant or Associate Professor rank. Therefore, the School welcomes applications from early career candidates (i.e., scholars who have recently completed or will very soon complete their PhD
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working