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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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Background Access to healthcare is an ever-increasing global issue. Over 15% of the current global population require rehabilitation care, but the majority of them do not receive healthcare access. Remote monitoring of human movements and physiological parameters is critical for future...
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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 January 2026 ** (Please see the note below regarding potential later start...
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Europe | 18 days ago
Lisboa (Iscte)Research Field: Electrical Engineering, Physics, Computer Science, Applied Physics/OpticsResearcher Profile: First Stage Researcher (R1)Application Deadline: 26 August 2025 – 23:59 (Lisbon
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Application deadline: All year round Research theme: Systems and Control How to apply: uom.link/pgr-apply-2425 This 3.5 year PhD project is funded by The School of Engineering and is available to home students. The successful candidate will receive a tax free stipend set at the UKRI rate...
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fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme! How does it work? Candidates will study for a four year, full time funded PhD
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Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
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Funding for: UK/Home Students Funding amount: Annual tax-free stipend of £22,780/year, full coverage of tuition fees for UK/Home Students, plus training/travel funds We invite applications for a fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular...
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boundaries. This fully funded PhD scholarship is suitable for students with a background in Engineering Design, Smart Manufacturing, Aerospace Engineering, Mechanics, Computer Science, Mathematics, Life Cycle
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stakeholders. Demonstrated ability to manage iterative feedback cycles and refine deliverables accordingly. The skills, qualifications and experience required to perform the role are: A PhD in Computer Science