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within the field of non-parametric and multivariate statistics. This covers developing new statistical methods and investigating its properties by simulations and theoretical considerations using tools
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a Research Infrastructure? No Offer Description What you will do As a Phd-candidate you will work on a four-year research project in the Methodology and Statistics Unit at Leiden University under
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and Statistics Unit at Leiden University under supervision of Dr. Tom Heyman , Dr. Anna E. van ‘t Veer , Prof.dr. E.M.L. Dusseldorp . In this project you will systematically examine the role, impact
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conditions; Good analytical, methodological, and statistical skills (e.g., SPSS, R) Interest in working with psychophysiological measures (e.g. standardized itch inductions such as applying histamine
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, Clinical Psychology, Cognitive Psychology, Developmental and Educational Psychology, Social, Economic and Organisational Psychology, and Methodology and Statistics. Within the department of Health, Medical
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the accuracy of causal effect estimation. This project combines techniques from statistics, graphical model learning, and stochastic optimization, embracing an interdisciplinary approach. The candidate will be
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statistical software such as R, Stata, or Python (R preferred). Applicants meet the English language requirements of the Graduate School of the Faculty of Social and Behavioural Sciences. A working
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, which might range from regression discontinuities to process tracing, is an advantage. Applicants must have proficiency in statistical software such as R, Stata, or Python (R preferred). Applicants meet
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mindset, openness to learning new skills, and willingness to share knowledge; Proficiency in Dutch, as you will be interacting frequently with youth; Good analytical, statistical skills, with prior
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on recruitment and building support by developing a theoretical model and testing the expectations using statistical analyses and big data analytics. It is widely accepted in the empirical study of political