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Mathematics: Statistics Position You will work actively on the preparation and defence of a PhD thesis in statistics and data science. Possible topics are causal machine learning, causal inference, robust
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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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, respectively in ETH Zurich and EPFL. The research activity closely aligns with and is supported by the NCCR SPIN (a Swiss National Center of Competence in Research) in Switzerland, focusing on hole spin qubits
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. Wallraff and Prof. Scarlino, respectively in ETH Zurich and EPFL. The research activity closely aligns with and is supported by the NCCR SPIN (a Swiss National Center of Competence in Research) in
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along a Master’s degree in computational biology, bioinformatics, computer science, (bio)-statistics, mathematics, or related fields. The ideal candidate (m/f/d) will demonstrate a strong drive to excel
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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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statistical analyses on longitudinal data; Publishing analyses in international and national (scientific) journals and presenting them to relevant stakeholders, and presenting them at national and international
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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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Engineering » Other Language sciences » Linguistics Mathematics » Mathematical analysis Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 20 Jun 2024