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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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Apply now PhD candidate in Statistics and Pharmacometrics We are looking for a motivated PhD candidate to join our division Systems Pharmacology and Pharmacy, LACDR at Leiden University
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://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/applied-mathema… ) is offering a full-time PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient
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PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient risk profiling. In partnership with RECENTRE (see https://www.4tu.nl/recentre/), a
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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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statistical analyses on longitudinal data; Publishing analyses in international and national (scientific) journals and presenting them to relevant stakeholders, and presenting them at national and international
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candidate under the supervision of Dr Luca Ambrogioni. We carry out research at the frontier of generative modelling using concepts from statistical physics and neuroscience. For example, we have shown
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, MASLD, and disease phenotypes (Obesity, Type-2-diabetes) collected in European population studies. You will apply multivariate statistical models and AI-assisted knowledge graphs to guide
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, or other types of political violence, armed conflict, or conflict processes. To align with TERGAP, the PhD candidate’s research is expected to develop a quantitative research design applying statistical