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of an international team The following experience is beneficial working knowledge of statistics familiarity with DIgSILENT is highly valued demonstrated research experience in electrical power
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statistical and computational techniques. The goal would be to enhance the efficiency, reliability, and sustainability of electricity distribution in the face of evolving energy demands and generation profiles
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, Statistics, or a related field, and with the interest and ambition to carry out a PhD study within the transport science domain. The successful applicant will work on research focused on the fleet replacement
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analysis and models of statistical mechanics among the laboratory. The thesis will lie in probability, more specifically at the crossroads of stochastic analysis and models of random interfaces. We will
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stresses. Scientific objectives : This thesis is part of Axis 2 of the project, which aims to propose a mean-field method for estimating the effective properties and statistical fluctuations of local fields
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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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methods, skills in the R statistical computing; Experience in forensic science research; Excellent command of English; Strong and demonstrable writing and analytical skills; Capacity to work both as an
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Engineering » Other Mathematics » Geometry Mathematics » Mathematical analysis Mathematics » Probability theory Mathematics » Statistics Mathematics » Other Researcher Profile First Stage Researcher (R1
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) population trajectories and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives
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) population trajectories and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives