26 evolution "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions at Newcastle University
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stakeholders. Ultimately, the findings will provide strategic evidence for the development of long-term adaptation pathways that will help to navigate severe socio-economic disruption from drought events
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PhD Studentship: Development of a robust hydrological modelling framework for drought risk assessments Award Summary This studentship provides a tax-free annual living allowance of £25,726 plus a
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). All applicants must meet UKRI terms and conditions for funding. See: https://www.ukri.org/funding/information-for-award-holders/grant-terms-and-conditions/ How To Apply You must apply through
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coordination of activities within the group, including supporting grant writing. As part of our commitment to career development for research colleagues, the University has developed 3 levels of research role
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development of wide bandgap device-based integrated motor drives, advanced control techniques for next-generation drives, and innovative approaches to reducing passive components in electric drive systems. Your
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-generation into medical device software development processes. You will be trained to carry out research that combines software engineering, formal methods, and safety assurance. You are not expected to have
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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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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. Methodology The PhD will be divided into 3 work packages (WP): WP1 - Digital Twin Development: This WP focuses on building physics-informed digital twins for high-impact use cases: Smart Grids (simulating load