654 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "ISEP" PhD positions in United Kingdom
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Tracey Concrete, a market leader in precast concrete manufacturing employing innovative
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Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
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interdisciplinary and collaborative project. In addition to the lead supervisor at Birmingham, Dr Yueting Sun, UKRI Future Leaders Fellow (FLF), with local support from colleague Dr Mingchao Liu, you will also
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Topological Data Analysis for Multimodal Neuroimaging: MRI and NIRS Biomarkers of Brain Change DoS Dr Nathan Broomhead (nathan.broomhead@plymouth.ac.uk, tel.: +441752586874) 2nd Supervisor Dr Mariam
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Next-generation Biodegradable Microneedle Electrodes for Continuous Heart Monitoring DoS: Dr Alexander Besinis (alexander.besinis@plymouth.ac.uk) 2nd Supervisor: Dr Om Prakash Singh (omprakash.singh
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debates about South Asian immigration became a focal point in British culture. Jointly supervised by Lisa Kerrigan and Patrick Russell, BFI, and Dr. Julie Lobalzo Wright and Dr. Ritika Kaushik, University
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need to meet the minimum entry requirements for our PhD programme . Candidate profile A First Class undergraduate degree or MSc with Distinction (or equivalent overseas qualification) in mathematics
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2026. Later start dates may be possible, please contact Dr Eran Ginossar once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. Desired experience
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generalisation against noisy, live experimental data. This studentship is fully and securely funded by the University's £9M Research England-funded M3 4Impact expansion programme. This project is a cornerstone of
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-driven model selection, and deep learning for data analysis and feature extraction from characterisation data. Surrogate modelling will be employed to reduce computational costs, and AI-based uncertainty