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apply early as the advert will be removed once the position has been filled. We are seeking a highly motivated and talented PhD student to join a multidisciplinary project focused on the design, chemical
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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Project Link: Tailoring Novel Behaviours in Liquid Crystal Elastomers Through Design | Project Opportunities | PhD | University of Leeds Number of Positions: 1 Eligibility: UK Only Funding: School
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia
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methodologies, including experimental design and data-driven modelling How to apply Interested applicants should contact Carl Diver (c.diver@mmu.ac.uk ) for an informal discussion. To apply you will need
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, Science and Economy, to commence on 1 January 2026 or as soon as possible thereafter. This PhD project aims to develop advanced, climate change resilient road gully grating designs that enhance efficiency
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will investigate low-NOₓ and low-N₂O route ammonia utilisation through advanced catalytic material design. In this interdisciplinary research, you will not only benefit from the expertise from University
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proposes to leverage CFD and DEM to develop an optimised methodology for designing and locating PBs specifically for enhanced flood mitigation in coastal environments. In particular, we will consider
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training from both the University and Airbus. The successful candidate will gain experience in designing fuel additives, utilising computational, analytical and experimental techniques, potentially
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fully understand how these interventions control water flow, meaning their flood protection benefits may be miscalculated. This PhD will generate new knowledge to support the effective design and