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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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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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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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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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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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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