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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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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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(LiB’s). You will be responsible for: • Developing models and simulations of the electrode fabrication process, sensors, and actuators. • Developing a demonstrator of a soft sensing system that
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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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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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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of research projects on human immunity against bacterial and viral infections using human challenge models. You will support the research of Post-Doctoral Scientists, whilst obtaining training in working
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Guarantee for an ERC Starting Grant awarded to Prof Tom Rainforth. The post holder will undertake innovative research as part of the RainML Lab (https://www.rainml.uk/) towards the goals of the DataAcq
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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About the role We are seeking a full-time Post Doctoral Research Assistant to join the Oxford Particles Research Group at the Department of Engineering Science (based at the Osney Thermofluids