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Field
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with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in: • Development of data-driven schemes for the discovery of slow degrees of freedom
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lines, but their performances were very dependent on the quality of the initialization [7-9]. Statistical Shape Models (SSMs) have been also recently introduced [6, 10]. Although SSMs do not require
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or adapting novel algorithms, statistical modeling, and workflows to support customized data analysis. Result reporting will include maintaining the codes in a version-controlled repository with usable README
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(e.g. Europe). Candidates should have solid experience of large spatial and temporal datasets, their manipulation and the implementation of statistical and empirical models on such datasets
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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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-equilibrium statistical mechanics [2], more precisely by the thermodynamics of small systems [3]. Research Objectives: Our main task will be modeling different aspects of the Bacterial Flagellar Motor (BFM) [4
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. Required skills include data analysis, proficiency in statistical and computer tools, climate modeling, risk modeling, and literature research. In terms of soft skills, autonomy, critical thinking
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experience with running experiments on adults and/or adolescents. Proficiency in statistical and/or data processing (Matlab, or other). Fluency in spoken and written French (level > B1 of the European
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economics: optimization, machine learning, statistics/econometrics. Database use and eventually management; scientific programming. Knowledge of the energy sector and GIS are a plus. Knowledge in Python, R
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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