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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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Contributions - A formal framework for modeling well-being in adaptive learning - A well-being-aware student simulation model - A multi-objective RL framework - An orchestration architecture - Experimental
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of Mathematics of Toulouse (IMT, UMR CNRS 5219), at the University of Toulouse and at the European Center for Research and Advanced Training in Scientific Computing (CERFACS), in collaboration with the French
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the Eulerian approach and the Lattice-Boltzmann Method (LBM) with Lagrangian bubble tracking, in collaboration with TUHH Improvement of closure laws for the two-fluid model based on novel experiments and LBM
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
) the exploration of mixed-precision arithmetic in the context of high-order discontinuous discretization methods, and (2) the integration of machine learning techniques to complement and enhance traditional
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Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
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Package 6), equipping them with advanced skills in reservoir modeling, machine learning, advanced oxidation processes (AOP), and microbial enhanced recovery. DCs will also develop intuitive fluid chemistry
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
. Picchini. Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. Transactions on Machine Learning Research, 2024 Kugler, F. Forbes, and S. Douté. Fast
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concentrations and ratio of ions.9 If time permits, mass spectrometry analysis will be carried out through collaborations to assess the method within a clinical framework. References: Solène Lecot, Yann Chevolot
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, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs