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Funding Source: EPSRC DTP Supervisors: Professor Tony McNally Supporting Company: Roxel Ltd Start date:1st October 2025 Project Overview: The aim of this PhD is to investigate RAM formulation
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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laboratory at Swansea University. This demonstrator will closely replicate the industrial structure to ensure the relevance of the research undertaken in this PhD study. A major aspect of the work is the
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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: Establish a tailored enzyme panel for site-selective late-stage functionalization of complex NP scaffolds. Optimize biocatalytic reactions to generate a focused library of new NP analogues. Evaluate
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methods to improve systems, and ML research develops such methods. Major gains are made when the development of ML and systems are symbiotic and co-optimized. This is relevant across a broad spectrum of
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this project will deliver unique knowledge to develop strategy aiming at enhancing root nodule symbiosis and, thus optimizing nitrogen nutrition, whilst ensuring long-term agricultural sustainability. To achieve
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function to minimise disease development will be key to developing sustainable management strategies for take-all. In this PhD project, you will: develop molecular lab and bioinformatics skills to analyse