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Field
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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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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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Vacancies PhD position on Mathematical Statistics or Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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Vacancies PhD position on Mathematical Statistics and Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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Jordan laboratory, UMR CNRS 5208, in Villeurbanne (Université Claude Bernard Lyon 1). He will be a member of the Statistical Probability and Mathematical Physics team and will participate in
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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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an interplay between approaches in statistics, geometry and optimization. We offer an interdisciplinary quali-fication program that equips our graduate students with a broad set of skills for analyzing data and
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One PhD studentship is available in the area of machine learning theory (statistical learning theory and deep learning theory) or theoretical-oriented topics, e.g., trustworthy machine learning
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at UNSW, provided no tertiary study was undertaken during this period. School of Mathematics and Statistics Indigenous Scholarship (UGCE1268) $5,000 per annum for the minimum duration of program Aboriginal