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marine ecosystem management in the changing climate. Entry requirements: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Computer Science, Engineering, or
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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computations possible [1]. However, proven scientific applications for quantum computing remain mostly limited to quantum chemistry, materials, and particle physics. Since CFD is one of the most demanding use
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fundamental engineering science with advanced experimentation to develop methods that inform and validate next-generation tyre friction models. Key objectives include: Developing innovative experimental
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computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control
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terahertz (THz) radiation and the collective vibrational modes of biological macromolecules is an emerging field in physical chemistry. Terahertz radiation can be exploited to studying spectroscopic and
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and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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Deadline: 7th January 2026 One fully funded, full-time PhD position to work with Dr. Viacheslav Borovitskiy in his new research group at the School of Informatics, University of Edinburgh. Our
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for round one are now open. Submit your application before Friday 2 January 2026 at 5pm UK time, following the steps below: Select the ‘Economics – Doctor in Philosophy (PhD)’ option as your programme of
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(SMEs) in the health and life sciences (H&LS) sector to embed and accelerate sustainable manufacturing in their businesses. Integrated research in this programme will generate evidence-based guidance