627 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United Kingdom
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- VIN UNIVERSITY
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As a PhD student within the Economics Division, you will have access to a broad programme of research training opportunities. These include advanced methods courses, data skills workshops, and an
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4-year D.Phil. studentship Supervisors: Prof Matthew McGilvray & Dr Luke Doherty College: Oriel College An exciting PhD project in Effects of thermal warpage on supersonic intake and combustion will
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motivated applicant to undertake an original and applied programme of research on the development of community-led approaches to mental wellbeing in Wigan as part of Edge Hill University’s Civic Agreement
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programme’ page, please select (Neuroimaging) Research MPhil/PhD (Full-time). More information on the department and the programme is available at the departmental prospectus page here: https://www.kcl.ac.uk
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-class honours degree or equivalent) in materials science, manufacturing, mechanical engineering, metallurgy, physics, chemistry, or related fields. Ideal candidates will be self-driven, eager to learn CFD
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. Further information on eligibility and how to apply via University Applicant Portal can be found in the Further Information document Further information on the Faculty of History's PhD programme can be
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the Further Information document Further information on the Faculty of History's PhD programme can be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/hihipdhis and https
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How to apply: uom.link/pgr-apply-2425 How many positions:1 This is an industry funded PhD for home and overseas students. The successful candidate will receive a tax free stipend set at the UKRI
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science, along with proven skills in prototyping software using real-time 3D engines and implementing machine learning models. With 50+ researchers and PhD students, the Centre for Sustainable Cyber Security (CS2
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, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based