123 advance-soil-structure-modelling Postdoctoral research jobs at University of Oxford
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advanced spectroscopic and structural techniques, this postdoctoral project will establish clear correlations and mechanisms linking core properties critical to efficient light-harvesting with basic material
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battery materials synthesis and device fabrication, advanced characterisation and materials modelling. We will work to develop new Li-rich 3D cathodes by controlling local ordering in disordered rocksalt
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is focussed on understanding the human tumour microenvironment (TME) and its role in cancer progression, immune evasion, and therapeutic resistance. We place a strong emphasis on the use of advanced
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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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of extreme events. New modelling capability will be developed to quantify impacts of extreme events on surface melt of ice shelves. These advances will bring a step change over current knowledge of extremes in
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Applicants are invited to apply for a Postdoctoral Research Assistant vacancy within the Kapetanovic Group https://www.ndcn.ox.ac.uk/research/advanced-therapeutics-for-retinal-disease-kapetanovic
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Claudia Monaco’s research group at the Kennedy Institute of Rheumatology. In this role, you will apply single cell biology and cell signalling techniques combined with in vivo and in vitro models
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems
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this hydrogen generation model with the ammonia synthesis module. Find out more about the Hayward research and group at: https://www.chem.ox.ac.uk/people/mike-hayward. About you Applicants must hold a
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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