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the knowledge acquired during the PhD with team members and acquire new knowledge. - Engage with the Local team at LIPN and the wider national community working on proof theory, programming languages and
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) are an important tool for predicting the impacts of climate change on communities and ecosystems, but their accuracy depends on how well they reflect factors that ultimately drive plant fitness, including resource
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working at HEC Paris – GREGHEC. They will work mainly on a project financed by an ANR grant on the topic of "Strategic Communication and Costly Signaling" (ANR SCOCOS). The principal investigator
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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seeking a postdoc in Eco-evolutionary theory of host-microbiome systems. Host-associated microbiomes often display host specificity and heritability, yet the evolutionary processes under which
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to identify and model the most efficient catalytic sites on NDs using advanced Density Functional Theory (DFT) calculations. The project seeks to revolutionize the design of ND-based catalysts by controlling
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operation of scientific instruments. Our team Strong Interacting Matter in the theory division of IJCLab focuses on nuclear theory and its applications to others fields of physics. Our team, is
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Rhodes (I2M, Aix-Marseille University), the research program "Geometric and Probabilistic Aspects of Conformal Field Theory." The post-doctoral researcher will support and coordinate the scientific
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the interface of theory and experiment -Very good communication skills, ability to take initiative Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5821-CHRVEL-207/Default.aspx
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3, 289 (2025) [2] Nature Communications 6, 6236 (2015); Nature Photonics 17, 582 (2023); Nature Communications 15, 598 (2024) [3] Physical Review Letters 134, 036902 (2025); Physical Review Applied 24