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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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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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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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inclusive excellence as a core strength and an essential element of our public service mission. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus
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engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery
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variables and characteristics are sensitive to soccer match officials’ decision-making. Develop statistical models to explain and predict decision-making in soccer matches. SPECIFIC REQUIREMENTS