716 embedded-system "https:" "https:" "https:" "https:" "St" PhD positions in United Kingdom
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for sustainable hydrogen technologies. This PhD position is affiliated with the EPSRC Centre for Doctoral Training (CDT) in Modelling of Heterogeneous Systems (HetSys). It is funded as part of an Industrial
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? The University of Sheffield’s Leonardo Centre, a global leader in tribology research, invites a motivated and curious student to embark on an exciting PhD journey. This opportunity is generously funded by John
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
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contributor, yet sodium plays a critical functional role in batter systems, influencing flavour delivery, texture, processing robustness, and consumer enjoyment. This fully funded PhD studentship will tackle
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This studentship is open to UK students only The School of Chemistry at the University of Nottingham welcomes PhD applications in Theoretical and Computational Chemistry. The studentship is fully
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
About the project: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution Supervisor: Prof. Scott Habershon, University of Warwick Protein folding is a dynamic, complex
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of pharmaceutical drugs and beyond. Understanding these materials experimentally is, however, a real challenge due to very long relaxation timescales that preclude many experimental measurements. Modelling is
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Award summary 100% fees (UK home only), a minimum tax-free annual living allowance of £21,805 (2026/27 UKRI rate), and a research training support grant of £20,000. Overview This PhD project is part
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Application deadline: 31/05/2026 Research theme: Metallic materials How to apply:https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is fully funded and home students are eligible
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planetary systems. The project will investigate Probabilistic Numerical Computation for large scale Inverse Problems, with a particular focus on cases governed by Partial Differential Equations (PDEs). Recent