605 structural-engineering-"https:"-"https:"-"https:"-"https:" research jobs in United Kingdom
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in 2D semiconductor materials and spin-qubits; work in close collaboration with partners in academia and industry to address challenges in the science and technology of atomically thin semiconductor
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and testing of LLMs. About you You will hold, or be close to completion of a PhD/DPhil in a relevant technical subject (e.g. computer science, statistics, engineering) and possess sufficient specialist
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on your behalf. Internal applicants – please ensure you apply via your employee self-service portal. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Please
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. Experience with, or a solid understanding of, the organizational, teaching, and administrative structures of the University of Vienna or comparable research-intensive universities. What we offer: Work-life
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Innovate UK to advance highly reproducible human in vitro models. These systems combine patient tissue with microfluidic technologies to recapitulate tissue structure and function while reducing reliance
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conferences About the team - The overall project team brings together scientists and engineers working across six leading UK universities and with a highly active Industry Advisory Board to ensure real-world
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an existing open-source malaria transmission model (in partnership with the model developer) to embed these new water layers. Model outputs will then be validated using remotely-sensed datasets and existing
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development and feedback process control for quality assurance tools and the next generation of renewable energy development. You will help in the research and development of the sensor technology, robotic
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environmentally sound management of the materials contained in lithium-ion batteries. Researchers at the University of Birmingham will be investigating separation technology efficiency and characterisation
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knowledge gap by using cutting-edge technology to track individual tumour cells over time, essentially creating a “family tree” of cancer cell evolution. By tagging each cell with a uni que DNA barcode and