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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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will work on the construction of statistical physics models applied to biological systems. They will test them on biological data from several systems in collaboration with our experimental colleagues
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or Statistics or Business Intelligence, or Artificial Learning and Intelligence, or Signal Processing. o Skills in software development and databases. o Good general scientific background, particularly in
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corresponds to this strategy and to the development of new tools and concepts in statistical physics, enabling to ameliorate the understanding and numerical simulation of physical systems and also to better
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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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, 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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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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interest in flavour physics and statistical data analysis, and excellent computing skills (ROOT, Python, C++). Some experience in analysis of heavy flavour decays and with the Belle II software would be
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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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Description The postdoc will be involved in further developments of high-mobility two-dimensional electron gases in close collaboration with numerous mesoscopic activities (anyonic statistics, charge Kondo