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depending on funding. The Oxford Ion Trap Quantum Computing group currently hosts one of the world’s highest performance networked quantum computing demonstrators, capable of remote Bell-pair production
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, funds for Parents and Carers, and the potential to join community staff networks. About the role You will join a team of climate scientists and artificial intelligence experts to generate new projections
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Foundation and the Institute of Philanthropy to establish the Wastewater Surveillance for Pandemic Prevention (WaSPP) network. This network will develop and pilot wastewater surveillance strategies, laboratory
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multidisciplinary and multicultural team. Proven ability of working with projects partners to reach their objectives timely. Excellent networking ability and organizational skills. Proven and distinct work
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addresses subsurface uncertainties and evaluates commercial viability, promoting regional awareness and policy development for strategic alignment with regional and governmental priorities in relation to Net
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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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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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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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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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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