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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
. This involves theory but also the integration of observational information into models through data assimilation and model inversion. In this domain as in many fields of applied science, researchers face high
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found in the University's Administrative Guide, http://adminguide.stanford.edu . Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever
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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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. 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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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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" initiatives, this field integrates automation, robotics, advanced manufacturing, integrated circuit technology, industrial engineering, complex systems modeling and optimization, and project management. It is
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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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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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of Time • Conduct experimental research, including characterizing mechanisms of plastic and e-waste degradation, genetic modification and engineering of model and non-model microorganisms, designing