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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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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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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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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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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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& NCO & CDO, etc.), and have demonstrable expertise in the analysis of big data, and the interpretation of climate/weather observations/reanalyses and model simulations. Additionally, experience with
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We are looking for a Postdoctoral Research Associate in Innovative Financing for Nature to help shape how innovative financing mechanisms can unlock large-scale nature recovery in Africa and beyond
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. This project will require a strong molecular biology background, knowledge in AI-based protein structural prediction, in vitro expression systems and cryo-EM, experience in analyzing large datasets, and solid
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the remit of this large-scale project and will have the opportunity to do so in several ways including independently, collaboratively with other members of the group and other research groups at Oxford and/or
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, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You will be able to demonstrate how to organise and prioritise work