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Field
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data sources to answer important population-level questions that will inform health technology assessment, policy, and practice. The successful PhD student will be embedded within an interdisciplinary
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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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Department: Materials Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Application deadline: 29/04/2025 Research theme: "Materials
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/Team: Division of Informatics, Imaging & Data Science Hours Per Week: 35 hours per week Closing date (DD/MM/YYYY): 11/04/2025 Contract Duration: Fixed term for 9 months School/Directorate: School
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quantum chemistry (QM), machine learning (ML), and high-throughput experimentation (HTE). The objective is to develop a data-driven framework that enhances the efficiency and effectiveness of catalyst
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a wider longitudinal study that will investigate the mechanism behind myopia control and seeking to discover why myopia control is not universally effective. See here for further information
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14 Feb 2025 Job Information Organisation/Company Swansea University Department Central Research Field Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD
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Partnerships - By building and maintaining critical partnerships, aligning incentives and reducing complexity across a fragmented landscape to streamline health data science. This PhD is funded as part of
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for more details For further details and to discuss a prospective application, please contact: Dr Peter Shaw, p.shaw@kingston.ac.uk Eligibility: Minimum Upper Second Honours degree in Engineering or Computer
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(or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject area: Medical imaging, biomedical engineering, computer science & IT