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. • Proficiency with commercial software for periodic DFT (e.g., VASP) and/or molecular calculations (e.g., Gaussian). • Experience in Molecular Dynamics or Global Optimization calculations is a plus. • Significant
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TAGADA started on Oct, 1st 2025 https://www.ceremade.dauphine.fr/dokuwiki/anr-tagada:start . The goal of TAGADA is to lay the foundations of random tensor theory and foster a multidisciplinary research
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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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of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students. Where to apply Website https
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developmental) and integrative neuroscience, the laboratory is structured around four main teams: - Cognition-Behavior-Context - Social Behaviors and Collective Dynamics - Physiological and Psychosocial Stress
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to enable convergence between the IPSL Earth System model and observations (natural and instrumental archives). · Evaluate the mechanisms of internal ocean-atmosphere coupled dynamics and feedbacks in
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teams aim to increase the diversity and dynamism of data, services, interaction devices, and use cases in order to influence the evolution of software and systems to guarantee essential properties such as
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5 Jan 2026 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Physics » Computational physics Physics » Statistical physics Researcher Profile
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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Network spanning 33 institutes worldwide. Host laboratory: The Mass Spectrometry for Biology Lab https://research.pasteur.fr/en/team/mass-spectrometry-for-biology/ )led by Julia Chamot-Rooke, is a dynamic