326 computer-programmer "https:" "https:" "https:" "https:" "https:" PhD positions in United Kingdom
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, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation
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, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling background. A knowledge of anatomy and 3D
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to identify patient characteristics that are relevant for therapy, (c) computational optimisation of current CPR protocols. For more details of our work, please see: http://www2.warwick.ac.uk/fac/sci/eng/staff
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How to apply: https://uom.link/pgr-apply-2425 This 3.5 -year PhD studentship is open to Home (UK applicants). The successful candidate will receive an annual tax-free stipend set at the UKRI rate
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laboratory Publish and present your results at leading international venues, and complete your doctoral thesis in the Aalto Doctoral Programme in Electrical Engineering Contribute to teaching duties as part of
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imprint lithography. The candidate will be based in the Department of engineering working in Prof Michael De Volder's group (http://www.nanomanufacturing.eng.cam.ac.uk/ ), and will collaborate closely with
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and real-time controller. Support validation using HIL platforms, dynamometer testing and environmental characterisation data, as required by the project plan. Work collaboratively with academic and
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microscopy. Other projects on the structural integrity theme are available on the DRIVERS and PANDA DFA webpages: https://www.imperial.ac.uk/a-z-research/nuclear-dfa/programme/phd-research-projects/ https
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note the guidance for the programme Personal and Research Statements, which the programme template documents must be used in the application. https://biodtp.norwichresearchpark.ac.uk/ To maximise
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machine learning and conventional optimisation techniques. 2. To design and optimise magnonic primitives for wave-based neuromorphic computing, including programmable devices enabling nonlinear activation