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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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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | 2 months ago
statistical learning solutions applied to anomaly detection and adapted to the types of data coming from the manufacturing process. The aim is to optimize quality control by detecting potential anomalies among
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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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, 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
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or equivalent Skills/Qualifications Masters in statistics or biostatistics or applied mathematics, At least level C in English, Good communication skills in English, Coding in R or/and Python, knowledge in
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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
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organizing analyses - Performing statistical analyses - Writing publications - Student supervision - Taking part in one PhD supervision on complementary experiments (including laboratory word) - Untertaking
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and experimental and clinical oncology, is committed to develop novel methodologies combining mechanistic and statistical modeling to be ultimately applied at bedside. The PhD theme and datasets The aim