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or more of the following research fields: Quantitative finance Neural Networks Financial Engineering and Risk modelling Wealth management, payment and lending AI/Machine Learning applications in financial
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, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven
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hydrologic and hydraulic models (e.g., WRF-Hydro, HEC-RAS, OpenFOAM, GSSHA, Delft3D, EFDC, etc.). Data Engineering & Computational Workflows – 35% Curate, preprocess, and analyze large environmental datasets
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology
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an emphasis on technology, data science and the humanities. The Nutrition, Metabolism and Health Programme is addressing one of the world’s most pressing healthcare issue: Over nutrition driven chronic diseases
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3 Mar 2026 Job Information Organisation/Company Gisèle Krysztofiak Research Field Chemistry Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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. This research is driven both by the growing expertise within LaMé in this field and by the socio-economic context of the Centre-Val de Loire region, which provides a practical application and a platform for its
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control schemes, embedded-model control, data-driven approaches and robust controller synthesis; Implementation of the selected control methodologies in the high-fidelity end-to-end DFAOCS simulator; Model
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" initiatives, this field integrates automation, robotics, advanced manufacturing, integrated circuit technology, industrial engineering, complex systems modeling and optimization, and project management. It is