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performance. Key research themes include the extent of graphene dispersion, polymer–filler and filler-filler interfacial behaviour, and the role of nanoscale architecture in determining macroscopic performance.
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newly established state-of-the-art smart textiles lab facilities and work alongside a team of senior academics and doctoral researchers. Through our Doctoral College, postgraduate courses, group
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research; (c) A strong foundation in technical, analytical, and research skills, enhancing your career prospects in academia, R&D, and the growing clean energy sector; (d) Opportunities to present your work
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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subject relevant to the proposed PhD project (such as mathematics or statistics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work
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biology experience with laboratory-based research (e.g., cell culturing, molecular techniques, bioinformatics, flow cytometry) ability to work independently and as part of a research team strong analytical
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operating filters. Quantify operational performance including headloss recovery, filtrate turbidity, biological stability and lifecycle carbon—using high-resolution sensor data and life-cycle assessment tools
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
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university with a powerful civic mission, dedicated to addressing real-world challenges through research and innovation. As a Chancellor’s Scholar, you’ll benefit from: Expert supervision: Work closely with
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Research Office Location: Newport, Shropshire TF10 8NB Post Type: Full Time Contract Type: Fixed Term - 36 Months Closing Date: 23.59 hours GMT on Friday 21 November 2025 Reference: PHD-SELF-JAN