519 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Hong Kong" PhD scholarships in United Kingdom
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited
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postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage
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a combination of synthesis, analytical measurements, computation, data analysis, and catalysis. They will be fully integrated into the research group and will benefit from extensive transferable
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receive comprehensive training in synthesis, analytical measurements, computation, data analysis, and catalysis. They will be fully integrated into research groups at both Warwick and VUB and will benefit
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with existing population and demographic monitoring data held by the British Trust for Ornithology. Statistical modelling approaches will examine spatiotemporal changes in bird distributions in response
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representation of streamlines inferred from geomagnetic data, from Finlay et al. Nat. Rev. Earth Environ., 4:377–392, 2023 and numerical simulations by Schaeffer et al. Geophys. J. Int., 211(1):1–29, 2017
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more information on the admissions process generally, please contact research.degree.admissions@plymouth.ac.uk The closing date for applications is 12 noon on 24th April 2026. Shortlisted candidates will
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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Other) The successful applicant would study an appropriate master’s degree, such as: MSc Data Science MSc in Social Data Science This project explores quantitative techniques that identify fake news
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physics-based and data-driven methods to support the design and scale-up of these systems. This approach will reduce the need for costly experiments, improve scale-up predictions, and provide confidence