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applications that are interested in pursuing interdisciplinary projects incorporating elements of computational science methodologies in the context of social science challenges spanning the remits of the UK
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(both in-person and online) with the relevant industries. The RA will analyse the current landscape of Materials Science in Higher Education (degree courses, program content and students). The RA will
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project, Semiconductor: Skills, Talent and Education Programme (STEP ), funded by the Department for Science, Innovation and Technology (DSIT), in collaboration with UK Electronics Skills Foundation and
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methodologies, from observational to computational and population-level modelling. Such projects and associated methods are made possible through the linkage of administrative and health data, increasing demand
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to enhance both accuracy and computational efficiency, enabling near real time water quality forecasting. This development will provide a more reliable, science-based foundation for environmental decision
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—using robust coding and data science techniques. A comprehensive quality control framework will be built to identify and correct errors, apply bias adjustments, and assess data quality. State-of-the-art
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research programme CoTide: Co-design to deliver Scalable Tidal Stream Energy. CoTide is developing and demonstrating new solutions and integrated tools and design processes for tidal stream energy that will
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United Kingdom Application Deadline 7 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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applications that are interested in pursuing interdisciplinary projects incorporating elements of computational science methodologies in the context of social science challenges spanning the remits of the UK
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Framework Programme? Not funded by a EU programme Reference Number RS898 Is the Job related to staff position within a Research Infrastructure? No Offer Description This pathway will leverage excellent