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, and assess their association with health and production performance. For more information and for an initial discussion please contact Dr Lisa Williams Lisa.Williams2@hartpury.ac.uk The University
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global manufacturers. For details, visit the MTC website . For further information on this PhD position please contact Dr Sara Wang (Sara.Wang@nottingham.ac.uk ) Closing Date: 27th February 2026. Proposed
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3.5 year PhD studentships in Artificial Intelligence in Medicine, or Health Data Science, funded by the National Institute for Health Research UCL UCLH Biomedical Research Centre are available within
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underlying physics while enabling real‑time or near‑real‑time predictions. You will work with experts in engineering, CFD, data-driven fluid dynamics and computer science. This PhD provides an excellent
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Research theme: Analytical Chemistry, Laser Physics, Materials Characterisation How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to Home (UK) applicants and EU students
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, inspection histories, operational performance data, hyperspectral imagery, train-borne video analytics and satellite soil-moisture products to build predictive models of vegetation-driven and water-driven
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on the project choice/previous experience/interests, as a PhD student, you will gain hands-on experience in Synthetic chemistry and analytical techniques (HPLC, LC–MS, NMR) Designing and synthesising compounds
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: There will be a shortlisting and interview process. RCUK eligibility: No Eligibility: Applicants should hold, or expect to obtain, a postgraduate degree in Computer Science, Artificial Intelligence, Data
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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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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities