577 embedded-system-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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Stipend (£20,780 in 2025-26, the 2026-27 stipend is TBC), as well as a research allowance for costs such as supplies, field work etc. International applicants are welcome, but will need to cover
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to the project is a multidisciplinary investigation into the impact of cardiac resynchronisation therapy on vascular function. Respect and empathy towards patients and effective working with the clinical
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desirable. Entry requirements At least UK equivalence Bachelors (Honours) 2:1 or UK equivalence Masters degree. Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is
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Project Overview This is an opportunity for a person from an underrepresented group to undertake a fully funded master’s degree followed by a fully funded interdisciplinary PhD research degree under
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Project Overview This is an opportunity for a person from an underrepresented group to undertake a fully funded master’s degree followed by a fully funded interdisciplinary PhD research degree under
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Project Overview This is an opportunity to conduct fully funded interdisciplinary research under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex
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Project details Digitalisation is widely promoted as a catalyst for growth and innovation, yet many SMEs and family firms in emerging economies struggle to adopt and benefit from digital
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molecular sensors. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an
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(Anya) Gryn'ova (g.grynova@bham.ac.uk ). Funding notes: This studentship is fully funded for 3.5 years and includes a tax-free annual stipend and fees at the UK home rate. Additional funding will be
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computational modelling and want to collaborate with industry experts, this opportunity is for you! Why Join Us? Work with a leading research team and industry specialists Gain interdisciplinary training in AI