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PhD on Motives for Statistical Reporting Practices (1.0 FTE) (V24.0329) « Back to the overview Job description Statistical results of empirical studies in the behavioral and social sciences have
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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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description above and upload it as a PDF in the application. Qualifications and specific competences Applicants for the PhD position should (expect to) have an MSc degree in a computational statistical field
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will focus on: Modelling the statistics of induced seismicity. Modelling the spatial distribution of seismicity. Benzi, R., Kumar, P., Toschi, F., & Trampert, J. (2016). Earthquake statistics and plastic
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economic burden of community acquired pneumonia within the UK. The student will analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify
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Applications are invited for one PhD position in “Modelling and Inference for Mosquito-Borne Disease Elimination” at the Department of Statistics, University of Warwick. The successful applicant