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Computational background: engineering, physics, maths, or computer science. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement explaining your motivation
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leading research, education, policy and industry sectors. Our innovative programme offers exceptional PhD training and supports a diverse portfolio of multidisciplinary research across the NERC remit. We
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to validate computational fluid dynamics modelling to determine drag and vortex-induced vibrations on dSPCs associated with biofouling. Better understanding of the hydrodynamic consequences on dSPCs from key
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A fully funded 3-year PhD studentship is available from 1st October 2025 in the School of Computer Science and Engineering at Bangor University. The project investigates viral infection in real-time
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capture, evaluate the potential apportionment of soil/sediment chemistry to sources and locations from established field experimental plots and catchments-valleys identified from baseline data using isotope
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that benefit fitness in the opposite sex. You will receive outstanding interdisciplinary training in computational biology, experimental genetics, and molecular biology. The supervisory team offers expertise
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Computer Science or a related field. Strong motivation to conduct groundbreaking AI research that make a positive impact in the real-world. Excellent communication skills in English, both speaking and writing
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Programme (NSIP). The position is full-time and fixed-term until 31 March 2027. This interdisciplinary project is conducted in collaboration with the Department of Plant Sciences and other industry partners
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is critical for a wide variety of engineering and environmental applications, remains unexplored. You will join a team of researchers that experimentally quantify the flow-physics of fundamental
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expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians