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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
(or surrogate models) are approximations of classical numerical solvers with a very low computational cost. They form the core of a digital twin. Using machine learning techniques to build these meta-models
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to correlate polymerisation kinetics, macromolecular architecture, morphological evolution and drug encapsulation mechanisms. Beyond experimental work, the project will integrate machine learning approaches
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analysis. Where to apply E-mail [email protected] Requirements Research FieldPsychological sciences » Cognitive scienceEducation LevelMaster Degree or equivalent LanguagesFRENCHLevelBasic Additional
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
DFKI, with a specific focus on the data, alignment, and representation-learning foundations required for robust and generalizable sign-to-text translation. Motivation and context Sign languages
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VersaillesCountryFranceCityVERSAILLES Contact City VERSAILLES Website http://www.ilv.uvsq.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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Science des Matériaux de MulhouseCountryFranceCityMULHOUSE Contact City MULHOUSE Website http://www.is2m.uha.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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year - complementary social protection contract Bibliography Birnbaum, Ramon Y., E. Josephine Clowney, Orly Agamy, et al. 2012. “Coding Exons Function as Tissue-Specific Enhancers of Nearby Genes
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements
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STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail