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the NCO will consist of an extensive survey data collection on gender cultures in Dutch secondary schools. This dataset will be linked to register data from Statistics Netherlands (CBS). In the PhD project
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of fundamental scientific and applied knowledge to better understand the cognitive and neurobiological mechanisms of psychopathology. We study clinically relevant processes such as biased information and affective
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Bayesian or Credal network) is annotated with the origin of the information it captures. This allows for accountable development and use of these systems. Your task will be to study how accountability can be
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the required cookies to view this content. Show content Practical information and applying You can apply only via the button below. Address your letter of application to dr. Marij van Strien. In the application
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expected can be quickly updated for the design of optimal experiments. The student will work in close collaboration with the Englitz lab, so that there is a direct link between modelling, data analysis and
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the required cookies. Accept the required cookies to view this content. Show content Practical information and applying You can apply only via the button below. Address your letter of application to Dr
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cookies to view this content. Show content Practical information and applying You can apply only via the button below. Address your letter of application to Jeroen de Jong. In the application form, you will
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the required cookies. Accept the required cookies to view this content. Show content Practical information and applying You can apply only via the button below. Address your letter of application to
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potential quantitative component using existing survey data (such as the LISS panel) is possible, offering the candidate the opportunity to apply mixed methods if suited to their research interests and
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(automated machine learning) to make better data science. On the one hand, you will work on learning Bayesian networks supported by AutoML. This will allow for the development of reproducible, data-driven