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for network constraints and uncertainty. Collaborating with other researchers on the project, you will also contribute to the design of a supporting cloud-to-edge computing architecture and profit-sharing
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tutoring of undergraduates and graduate students. Applicants should hold a PhD, or be close to obtaining of one, in physics or a related field and have a background in computational plasma physics
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Alliance. Other duties will include contributing to community activities such as seminars and networking events and developing skills in many areas of computational biological research via independent study
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computational modelling using artificial neural networks. It brings together teams led by Mohamady El-Gaby (Oxford Experimental Psychology), Matthew Nour (Oxford Psychiatry), Rick Adams (UCL), and Maria Eckstein
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be considered. You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and
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modelling of age-relevant mutations in the human osteocytic network function. You will be based at the Botnar Research Centre within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal
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to develop superconducting microwave interconnects and metasurfaces for distributed quantum networks, focusing on high-fidelity none-nearest neighbour entangling gates while addressing hardware overhead and
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routing, protocols, congestion control and resilience, and collaborate with other researchers in the project, providing innovation across multiple domains. About you You should have a PhD/DPhil in Computer