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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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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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) 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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) 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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data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness seminars, and (micro-level
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data, available as reports and regional statistics; (meso-level) collective coping strategies through social organisations, collected through their archives and witness seminars, and (micro-level
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principles, methodological rigor and scientific integrity; Proven proficiency in statistical software, such as SPSS, Stata, R and/or Python; Curious and eager to learn new skills, theoretical perspectives and
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, or in applied mathematics/statistics; clear interest in the research field of healthy and sustainable diets; be able to think and communicate across disciplinary boundaries; be a self-starter and a
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Learning, Artificial Intelligence, or a related field. Demonstrate a strong mathematical foundation in optimization, statistical learning, and probability. Possess a thorough understanding of machine