12 Statistics "University of North Texas Health Science Center" positions in Netherlands
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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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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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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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) population trajectories and state welfare provision data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives
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relevant for the PhD, such as psychology, cognitive neuroscience or tax law Strong background in empirical research and statistical analysis Experience with conducting experimental fMRI research, and
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, Clinical Psychology, Cognitive Psychology, Developmental and Educational Psychology, Social, Economic and Organisational Psychology, and Methodology and Statistics. The PhD position is embedded in the Unit
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, Developmental and Educational Psychology, Social, Economic and Organisational Psychology, and Methodology and Statistics. The PhD position is embedded in the Unit of Developmental and Educational Psychology. What
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neuroscience or tax law Strong background in empirical research and statistical analysis Experience with conducting experimental fMRI research, and experience with programming for statistical analysis are a plus
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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