418 data-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" PhD positions in United Kingdom
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(such as Google Drive) for systems/data protection-related reasons. A fully-completed UK citizen’s application form, non-UK citizen’s application form or distance learning application form, as well as a
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Doctoral Training Grant Funding Information This funding model includes a 48-month funded PhD Studentship, set in-line with UK Research & Innovation values. For 2026/7, this will be £21,805 per year
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formed during late-stage deglaciation and subsequent marine transgression. These data will provide critical constraints for palaeoclimatic reconstructions and help quantify the magnitude and style
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geophysical and planetary models. IBM faces several such challenges in practice, many of which are currently approached using Foundation-Model (FM) surrogates. However, certain inverse problems arise in data
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The minimum entry requirement is 2:1 (any degree with a substantial biological sciences component). Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is fully funded
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measurement and stopping rules controlling type-I error with finite-sample guarantees. Quantum statistical modeling: use of quantum relative entropy, Fisher information, and variational quantum circuits
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supporting the setup, calibration, and running of laboratory experiments, including the preparation and configuration of sensors, data acquisition systems, and associated hardware and software components
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and in-depth information about their vision. This could lead to a paradigm shift for monitoring vision in patients with MS – enabling earlier and more reliable detection of vision-related manifestations
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that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the
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the Faculty of Engineering, plus those housed in Plant Biosciences at the Sutton Bonnington campus. Data sets will be generated using simulated and experimental data and these will be used to train networks