715 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United Kingdom
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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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. 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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-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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failures before they occur, enabling proactive maintenance strategies. Anomaly Detection Mechanisms: Implement machine learning techniques to identify and classify anomalies in electronic systems, enhancing
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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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the PhD in Engineering programme. Make sure to reference the supervisor's name (Dr Farzad Hayati) in your application. Informal enquiries are welcome and should be directed to Dr Farzad Hayati at f.hayati
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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting
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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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The Child and adolescent Health Impacts of Learning Indoor environments under net zero (CHILI) Hub is a program funded by the MRC and NIHR, the goal of which is to understand the health effects we