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modelling, particularly finite-element based multiphysics and electromagnetic packages and techniques, and bespoke code for component simulations. Experience of relevant lab techniques – optical testing
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nanoparticles. The project is a collaboration between researchers in the Schools of Chemistry and Computer Science, combining cutting edge machine learning methods with world-leading electron microscopy
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platform is a key element in a multi-million-pound digital change portfolio, that will identify opportunities for digital innovation, streamline processes, and ensure the university is at the forefront
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. To review and synthesise existing literature within the field. To review existing Rolls-Royce numerical lubrication simulation codes (bespoke Reynolds solver) and structural Finite Element models (using ANSYS
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application will be considered based on the information you provide under each element. When attaching the supporting statement to your application profile, please ensure that you name it with the vacancy
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activity, including question writing, marking and feedback, acting as a Personal Tutor to provide academic and pastoral support, supervising Student Selected Component (SSC) projects as appropriate, and
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Inspire students and develop skills in assessment methods and in providing constructive feedback to students. Supervise the work of students including the supervision of Master’s students, and act as a PGT
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partners and other groups, and using mixed methods to collect and analyse new data and synthesize existing data set. You will also help facilitate workshops in schools, and work alongside a Software Engineer
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novel multimodal generative AI methods, to make them more effective, robust and efficient, evaluate and benchmark their performance, and address real-world problems through collaborations with industrial
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for the specification and design of large or complex systems. Resolving issues independently where they fall within set role objectives. • Agree appropriate design standards, methods and tools in consultation with