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Statistical results of empirical studies in the behavioral and social sciences have repeatedly been shown to be reported in a suboptimal way. This PhD project seeks to understand why applied
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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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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
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(CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require identifying relevant treatments and their associated Health Resource
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to reconstruct statistically meaningful flow fields. Despite their popularity, both approaches still present major challenges such as large amounts of high-resolution data (from direct numerical simulations
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partners. Strong applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr