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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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Ecole supérieure de physique et de chimie industrielles de la ville de Paris | Paris 15, le de France | France | 4 days ago
21 May 2024 Job Information Organisation/Company Ecole supérieure de physique et de chimie industrielles de la ville de Paris Department Team Biophysics and Evolution Research Field Engineering » Other Biological sciences Researcher Profile First Stage Researcher (R1) Country France Application...
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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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Degree or equivalent Skills/Qualifications - Masters degree in biostatistics, epidemiology, public health or equivalent with good knowledge in statistics - Experience in statistical analyses using R
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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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, and a strong foundation of knowledge in one or more of the following: genomics, cancer biology, statistics. Excellent computational skills as well as experience with high-throughput data analysis in
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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