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physiologically relevant models will provide crucial platforms to mimic disease pathology, and better understand and treat tendinopathy. The project will generate tendon-chips using in-house commercially available
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of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will
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-Aug-2025, 6:59:00 PM Disclosure and Barring Service Requirement: Not Applicable. Working at Durham University A globally outstanding centre of teaching and research excellence, a warm and friendly place
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at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have
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this position may be directed to Dr Ali Meghji Email: am2059@cam.ac.uk If you have any queries regarding the application process, please contact: hr@hsps.cam.ac.uk Please quote reference JM46722 on your
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about this position may be directed to Dr Ali Meghji Email: am2059@cam.ac.uk If you have any queries regarding the application process, please contact: hr@hsps.cam.ac.uk Please quote reference JM46722
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Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
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Applications are invited for a Postdoctoral Research Associate in Atmospheric Dynamics position. This role is part of the recently funded NERC ‘Arctic Butterflies’ project to investigate the role
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following areas: Computer Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research
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: Essential criteria PhD in Natural Language Processing (NLP), Artificial Intelligence or a very closely related discipline. Strong research record in NLP as evidenced by publications in high quality journals