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Field
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, computing, and energy economics. The successful candidate will have an excellent understanding in one of the following fields: power system operations, power system economics, linear programming, micro
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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an
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, covering aspects from engineering, manufacturing, economics and public perceptions. They will also develop the Diagnostic Discard exhibition to engage a broader public to consider diagnostic waste. See full
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
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Funding: School of Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email
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neurophysiological recordings, imaging studies, and behavioral experiments Present research findings at internal seminars, external conferences, and scientific meetings Actively engage in the Neuroscience PhD Program
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computing facilities and membership in the multidisciplinary Control & Power Group, which spans control engineering, energy systems and sustainability. Sector-leading salary and remuneration package
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Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD project description: Inkjet printing allows multiple materials to be 3D-printed
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. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and
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Open to: UK applicants only Funding providers: EPSRC CASE Conversion with GSK Subject areas: Applied Mathematics, Mathematical Modelling, Mathematical Biology Project start dates: 1 October 2025 1