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Jordan laboratory, UMR CNRS 5208, in Villeurbanne (Université Claude Bernard Lyon 1). He will be a member of the Statistical Probability and Mathematical Physics team and will participate in
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2 May 2024 Job Information Organisation/Company CNRS Research Field Physics » Biophysics Physics » Statistical physics Chemistry » Computational chemistry Researcher Profile Recognised Researcher
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The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc
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into zebrafish tail motion, so behavior.We will explore different methods of quantifying casual information transmission that link neural encoding and zebrafish behavior. We will look for statistical signatures
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, phase stability, characteristics of basic defects: vacancies and self-interstitials (energy of formation and migration). - Use statistical tools to study the impact of composition and potential
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language processing (NLP) skills; - Solid data science foundations; - Ability to use statistical software applications (R and Python are mandatory) to develop analytical tools and predictive models; - System
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mechanics and numerical methods. A good general knowledge of statistical physics and mathematical methods for physics will be appreciated. Additionally, the postdoc researcher will gain knowledge in high
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background in integrable systems, statistical physics, and particularly in generalized hydrodynamics. They should also have a solid experience in numerical simulations. Website for additional job details https
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biscriptualism desirable. EEG data acquisition and analysis (matlab). General skills in experimental methodology and statistical analysis. Excellent written and verbal communication skills in English. Ability
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on complementary imaging techniques combining high sensitivity, high spatial resolution and statistical representativity. As it stands, the reference technique is atom probe tomography (APT) [3] but it suffers from