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necessary. This includes general lab duties (maintaining supplies, consumables and equipment), processing samples, preparing reagents; cataloguing frozen samples; maintaining inventories; and some data
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach
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to Good Clinical and Laboratory Practice standards, HTA guidelines and MHRA regulations. You will use a large variety of techniques from classical and molecular microbiology and handling and analysis
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and data handling practices according to the highest standards. Being responsible for the day-to-day administrative duties and the recruitment of young people as participants, you will have excellent
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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high fidelity models of ice crystal icing accretion and shedding, verifying tools using the wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute
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O’Brien’s research groups at the Department of Engineering Science (Central Oxford). The post is fixed term for two years and is funded by the EPSRC. The development of large-scale quantum computers will
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knowledge and tools for non-equilibrium flows for hypersonic vehicles. The research will provide unique and high-quality experimental data for expanding high temperature flows. Alongside this, the proposal
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on funding) About the project: This project evaluates the effectiveness of anticipatory cash transfers in response to climate disasters, using large-scale RCTs in Bangladesh and other countries. It