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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
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/10.14379/iodp.proc.399.104.2025 ), combined with numerical modelling of PHHSs. About the role You will combine quantitative petrographic and petrological techniques (SEM-QEDS) with state-of-the-art, in-situ
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and naturalistic visual paradigms in macaque monkeys, together with quantitative behavioral analysis and computational modeling, to identify circuit and population-level signatures of drug related
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Bring your expertise in analytical and numerical spray modelling to the University of Brighton’s Advanced Engineering Centre, where you’ll play a key role in advancing cutting-edge two‑phase flow
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throughout the doctoral education. Research topic The PhD Fellow will be affiliated with the project Optimization of Energy Transfer in Shallow Geothermal Wells. The goal is to develop knowledge, models, and
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translational science, leveraging molecular, cellular, and animal model systems as well as patient-derived samples to uncover mechanisms of disease heterogeneity and progression and identify novel therapeutic
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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respond to sound in ways that influence physiology, root function and pollination. This project will combine experiments, analysis and multiphysics modelling to establish credible mechanisms, limits and
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computing, software development, geospatial or time series modeling, and mathematical modeling, or other areas of interest. This opportunity represents a unique window into the food safety regulatory
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on biofilm microbial composition, physiology and structure, and on relations between therapies and the dental biofilm are key elements of the ongoing research projects. Study models span from in vitro biofilm