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). By combining expertise in metabolomics, multi-omics, knowledge graphs, and artificial intelligence, this project fosters an essential interdisciplinary synergy to address the challenges of integrative
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that gap by exploring connections between AI models and low-rank tensor decompositions, providing a rigorous mathematical framework to address key questions:- When are learned representations interpretable
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drug-resistant neuropsychiatric illnesses. The theoretical foundations of this project are inspired by decision theory, which describes human behavior as a cost/benefit calculation based on a set of
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drug-resistant neuropsychiatric illnesses. The theoretical foundations of this project are inspired by decision theory, which describes human behavior as a cost/benefit calculation based on a set of
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drug-resistant neuropsychiatric illnesses. The theoretical foundations of this project are inspired by decision theory, which describes human behavior as a cost/benefit calculation based on a set of
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drug-resistant neuropsychiatric illnesses. The theoretical foundations of this project are inspired by decision theory, which describes human behavior as a cost/benefit calculation based on a set of
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drug-resistant neuropsychiatric illnesses. The theoretical foundations of this project are inspired by decision theory, which describes human behavior as a cost/benefit calculation based on a set of
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8 Feb 2025 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire des Sciences du Numérique Research Field Engineering Computer science Mathematics Researcher Profile
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12 Feb 2025 Job Information Organisation/Company CNRS Department Géosciences Environnement Toulouse Research Field History Anthropology Environmental science Researcher Profile Recognised Researcher (R2) Country France Application Deadline 4 Mar 2025 - 23:59 (UTC) Type of Contract Temporary Job...