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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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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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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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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
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who have earned an MSc, MPhil, or Research Master in economics, computer science, econometrics, statistics, or a related field. Successful candidates should have proficiency with R, SQL, Python
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, such as statistical AI (machine learning), symbolic AI (knowledge graphs, reasoning), and human computation (crowdsourcing). By analyzing empirical evidence of human interactions with data and systems, we
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work in a consortium consisting of university groups with complementary skills in fluid dynamics and statistical physics (Fluids and Flows, TU/e) and machine-learning techniques (AMLab, UvA), and
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; study design; multidisciplinary analyses (e.g. Genetics, Behaviour, Isotopes); statistical analyses; academic writing. The project is supervised by Dr Lysanne Snijders (Behavioural Ecology group) and Dr
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strong background and solid hands-on experience in experimental analytical methods, data processing, and statistical analysis; a strong interest (or preferentially: experience) in spectroscopy, microscopy