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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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Statistics in the Information Age", see https://for5381.uni-freiburg.de/en/research-unit-5381/ The position: PhD in Mathematical Statistics You will conduct research which preferably deals with one
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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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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both home and overseas students. Please note that only home fees will be covered - eligible
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We are seeking a talented and highly motivated PhD student (m/f/d) to undertake pioneering research in bioinformatics and genomics at the interface with biology. The applicant (m/f/d) should bring
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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