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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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and analytics partners who may combine it with other information that you’ve provided to them or that they’ve collected from your use of their services. Read more. Necessary Preferences Statistics
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/talentmonitor/ ) by using microdata from Statistics Netherlands. Analysing results in terms of recruiting, educating, developing and tying talent to the region. Identify, analyze and contribute to policy relevant
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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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lines of inquiry. Central tasks include Update and maintain our online monitor of talent mobility (https://talentinderegio.com/talentmonitor/ ) by using microdata from Statistics Netherlands. Analysing
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a Postdoc. The consortium consists of university groups with complementary skills in fluid dynamics, statistical physics, and machine-learning techniques, and commercial partners with a strong need
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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