413 phd-rehabilitation-engineering-computer-science positions at University of Cambridge
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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-temperature reactor technology; experience in developing mathematical, numerical and computational models; the ability to work as part of a team with excellent communication skills. Appointment at Research Associate
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enthusiasm to the Engineering Department's Mechanics, Materials and Design Division to maintain and develop a leading research presence. Candidates will hold a PhD or equivalent postgraduate qualification
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a materials engineering perspective: energy systems, advanced manufacturing and materials, computational and data-driven engineering, and robotics. The Department of Engineering is one of the few
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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We are seeking an experienced and enthusiastic Cloud Engineer to be based at the Institute of Astronomy (www.ast.cam.ac.uk ) in collaboration with the Research Computing Services (www.hpc.cam.ac.uk
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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well as academically new. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree (and preferably a Masters degree) in Engineering or Physical Sciences. Applicants should be able
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Cambridge University researchers to resolve engineering issues they might encounter when implementing machine learning methods (https://science.ai.cam.ac.uk/ai-clinic/ ). They will contribute to Accelerate's