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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 | 7 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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the first two years of data collection. The use of advanced statistical methods is essential to analyze the spectrum with the required precision. The development of these methods began at Subatech using a
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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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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