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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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validated physics-informed digital twin FDP approach, developed with industry leaders like AMRC, the project aims to enhance this method and elevate its Technology Readiness Levels (TRLs), supporting
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the field, from tissue scaffold design in tissue engineering evaluation to surgery. The student will focus on establishing best practice for widespread applicability, building on past skin, heart, lung, brain
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, etc The Person Knowledge, Skills and Experience Essential Proven expertise in the areas of security, formal methods, program analysis and software engineering Experienced in programming and tool
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on a European consortium project, UP2030. UP2030 aims to support cities in driving the transitions
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guidelines and standards, and technology maturity benchmarks to derive cloud platform maturity level standards. Lead on the development of business models, financial analyses, and market adoption strategies
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and Civil Engineering PhD Research Project Directly Funded UK Students Dr Marco Colombo Application Deadline: 30 September 2025 Details Are you ready to push the boundaries of engineering innovation and
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transformer designs. Applicants should have, or expect to achieve, first class honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Applicants must
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challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation capabilities. Recent