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criteria Knowledge of the functional renormalization group required. Python programming skills. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7010-ZIZJIN-002/Default.aspx Work
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, Applied Mathematics, or Computational Physics/Chemistry with a strong ML focus. Technical: Deep understanding of Deep Learning (Transformers, GNNs, Auto-encoders). Programming: Proficiency in Python and
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, or computer science: - Strong experience in statistical ecology and/or statistics; - Programming skills in R and/or Python; - Interest in ecological and conservation issues; - Interest in mountain environments. Website
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of the AAA ATPase p97: Disentangling the Continuous Conformational Variability in Partially Symmetrical Complexes. Int J Mol Sci. 2024;25. https://hal.science/hal-04519643 - Programming in Python and C
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: Fluency in English, with strong written and oral communication skills required. Additional skills: - Python programming, ex vivo patch-clamp, or molecular biology. Professional skills: - Ability to work
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Gammapy is an open Python library for astrophysical very-high-energy (VHE) gamma-ray data analysis. Amongst
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of computational neuroscience concepts - Expertise in dynamical systems theory - Knowledge of machine learning - Experience with neural data analysis ### Technical Skills - Advanced scientific programming (Python
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experimental particle physics, with less than 2 years experience after the PhD • Programming: skills in Python, C++ and ROOT • Language: fluency in spoken and written English. Some level of French could be
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(e.g. DGT) • Programming skills (R, Python) Transversal skills • High level of autonomy and organizational skills • Scientific rigor and critical thinking • Ability to work in an interdisciplinary and
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. - Knowledge of programming languages for instrumentation (LabView, Python) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5589-BAPALL-001/Default.aspx Work Location(s) Number of offers