358 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" PhD positions in United Kingdom
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School eligibility criteria apply, see full advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/managementscience/ai-augmentedgroupmodelbuilding/ Study modes
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
highly preferred, as the project requires advanced quantitative training. For full details, see advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/accountingfinance
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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essential; applicants should demonstrate strong academic performance, resilience in the face of research challenges, a proactive attitude to learning and a willingness to grow, and ideally an initial
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· Interest/experience in health services research How To Apply You must apply through the University’s Application Portal: https://applyto.newcastle.ac.uk/ In ‘Course choice’ tab: Type of Study - ‘Postgraduate
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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Application deadline: 15/05/2026 Research theme: Biocatalysis How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) and overseas students. The successful
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5pm GMT on 10-04-26. To make an online application go to http://www.bris.ac.uk/pg-howtoapply . Please select ‘Philosophy PhD’ on the programme choice page and ‘September 2026’ as your start date. Enter
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, water quality and meteorological datasets routinely collected by water utilities. The student will have the opportunity of using state-of-the-art machine learning methods (predictive analytics) to analyse
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, neuroscientists and clinicians in a highly interdisciplinary environment. You will apply computational and machine learning approaches to control theory problems, implement real-time digital signal processing