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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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in numerical methods and programming (e.g., C++, Python). Experience with DEM, multiphysics coupling, or reactive transport is a strong advantage. The position offers a dynamic research environment
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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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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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skills required for this project are as follows: * Proficiency in statistical tools (at least one of the following software programs or languages: Stata, R, Python) * Strong background in applied
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Additional Information Eligibility criteria Ability to design and implement behavioral protocols Knowledge of statistics Experience in signal analysis Experience in agent-based modeling Proficiency in Python
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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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, or ability to learn quickly) and/or symbolic/numerical computation (Mathematica, R, Python). • Fluency in scientific English (reading, writing, speaking) is essential to interact with the project's