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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how
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. Excellent communication, problem-solving, and teamwork skills. Flexibility and creativity in approaching complex challenges. Desirable Experience in HE/industry collaborations. Peer-reviewed publications in
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
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structural maintenance of chromosomes (SMC) complexes shape chromosomes by DNA loop extrusion, how they cooperate with DNA topoisomerases, and how bacteriophages and other infectious agents manipulate host
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Information Modelling (BIM) and digital processes that support sustainable, low-emission urban development. His research integrates complex data solutions to enhance decision-making in construction and smart
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access to world-class imaging facilities and a vibrant interdisciplinary network. Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@cardiov.ox.ac.uk ). Only
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access to world-class imaging facilities and a vibrant interdisciplinary network. Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@cardiov.ox.ac.uk). Only
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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quantum microwave-optical conversion for quantum networks. This post is part of the EPSRC-funded HQSS collaboration between the universities of Durham, Cardiff and St Andrews. Your role will be