699 embedded-system "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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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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from the establishment fund for Prof Gary Williamson, who recently joined Queen’s from Australia. The position is to generate data in the area of polyphenols and health and publish high quality papers
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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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This exciting opportunity is based within the Building, Energy and Environment Research Group at Faculty of Engineering, which conducts cutting edge research into the sustainability of buildings and
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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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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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, you will benefit from being part of a large international team that is studying the B. subtilis circadian clock from molecular to ecological scales. Specifically, the project is in collaboration with
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Retrofitting UK Schools for Health, Performance, and Climate Resilience This exciting opportunity is based within the Buildings, Energy and Environment (BEE) Research Group in the Faculty
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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