178 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" scholarships in France
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algorithms for asthma. The methods to be employed will include cell culture, transcriptomics, proteomics, multiplex assays, flow cytometry, and machine learning. This project combines expertise in cell biology
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silylated monomers in the COHA group of the Laboratory of Molecular Innovation and Applications (LIMA, Strasbourg, https://lima.unistra.fr ). The polymerisations to produce non-PFAS coatings will be carried
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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: https://www.uca.fr/recherche/presentation * Host Laboratory: https://celis.uca.fr * Information and resources on international mobility: Euraxess Auvergne Services Centre * Visa applications: Campus
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 15 days ago
:2011.10975. Prépublication, arXiv, novembre 22. http://arxiv.org/abs/2011.10975 . Hlad, Nicolas, et Benoit Verhaeghe. 2025. Migrating Katalon Studio Tests to Playwright with Model Driven Engineering. https
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/InstituteUniversité Paris CitéCountryFranceCityParisPostal Code75013Street15 Rue Jean-Antoine de BaifGeofield Contact City Paris Website https://u-paris.fr/ https://itodys.u-paris.fr/ https://itodys.u-paris.fr/equipe
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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PRIME (Projet de recherche inter-instituts multi-équipes) interdisciplinary CNRS programme (http://www.cnrs.fr/mi ). The PhD candidate will be co-supervised by Florence Niedergang (Team « Biology of