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Field
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Programme Overview This PhD is part of the Engineering Hydrogen NetZero (EnerHy) Centre for Doctoral Training (CDT), a newly established EPSRC-funded initiative focused on advancing research and
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should complete the University’s Apply to Newcastle Portal - https://applyto.newcastle.ac.uk/ . Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of
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of the principal investigator (Sara St George PhD). Dr. St George’s program of research is focused on promoting health, preventing chronic disease, and fostering positive relationships among Hispanic families by
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emerging photonic microdevices promising to revolutionise computer, communication, and sensing technologies must be performed with unprecedented picometre (one-hundredth of the atomic size) precision
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of Strathclyde will lead the wind energy training and research elements of the programme. Funded by EPSRC, this 4 year PhD studentship, at the University of Strathclyde is in the area of novel wind turbine concept
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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Sh.24.3 PhD in Sound Analysis for Predicting Category 1 Ambulance Calls School of Computer Science PhD Research Project Competition Funded UK Students Dr Ning Ma, Prof Jon Barker Application
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aligned subjects The Project start dates: October 2025 – Home students only January 2026 – Home and International students Supervisors: Aligned programme of study: PhD in Chemical Engineering Mode of study
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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About the Opportunity This job seeks a research assistant to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: 1) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and...