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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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molecular mechanisms underlying CR function in humans remain poorly understood. We are seeking a PhD student candidate for the PatCorg ERC Synergy project, which aims to investigate how specific morphogens
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major research center whose academic partners include Université Grenoble Alpes, Grenoble INP – UGA, CNRS, and Inria. The LIG brings together nearly 500 researchers, faculty members, PhD students, and
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of natural language texts. This PhD position aims at investigating new computational methods to reduce distortions in science communication. The envisioned methodology will focus on Argument Mining with a
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an average of twenty members, including eight permanent researchers. The PhD student will be supervised by Lucile Anthore-Dalion, a researcher specializing in synthetic methodology. The project will build upon
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15 Jan 2026 Job Information Organisation/Company CNRS Department Centre Interdisciplinaire de Nanoscience de Marseille Research Field Chemistry Biological sciences Pharmacological sciences Researcher Profile First Stage Researcher (R1) Application Deadline 4 Feb 2026 - 23:59...
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The proposed PhD project is part of the PEPR FORESTT, a national interdisciplinary research program aimed at studying the socio-ecological transition of forest systems. The targeted MONITOR project within
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10 Jan 2026 Job Information Organisation/Company CNRS Department Centre de recherches insulaires et observatoire de l'environnement Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 30 Jan 2026 - 23:59 (UTC) Type of Contract Temporary Job...
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displacement of a carbon nanotube and leverages its coupling to an electronic two-level system to induce sufficiently strong anharmonicity, enabling its manipulation and readout. In this PhD project, we aim
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learning. Work carried out during the Master's internship has already identified strong trends and tested statistical and machine learning approaches. The thesis will aim to consolidate and update