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analyses within this large-scale field experiment, working closely with an international consortium of health economists, clinicians and implementation scientists. Join us to help generate the evidence
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. This department at RSM has a large and highly international faculty, educated at renowned international institutions, with both a strong teaching tradition and international orientation. Additional information Your
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. The department's vibrant research community is embedded in Derius. We accommodate and actively support individual grant applications (NWO Talent VENI-VIDI-VICI, ERC) and participate in and coördinatie large
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on improving cancer care. In the role you will combine data analysis using clinical registries, evidence synthesis, participatory research with patients and clinicians, applied modelling, and development of AI
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willing to contribute to team-based teaching and course coordination Demonstrable skills in computer languages, specifically R or Python, is preferred Experience with teaching large and diverse student
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collect novel survey data. We will apply Correlational Class Analysis to uncover different meanings ascribed to climate change among the population at large, and multinomial regression analysis to assess
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and from peers. Running parallel to this are plenary sessions on themes such as thesis topic choice, conceptualising the theoretical framework, methods, data analysis and interpretation, and presenting
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, qualitative studies with clinicians, patients, healthcare managers, and industry partners will identify barriers and facilitators to successful implementation and large-scale adoption. The project will generate
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apply for one of the two vacancies for tenure-track Assistant Professor Information Systems (IS). As our tenure-track assistant professor IS, your work starts in January 2027. You’ll be based in RSM’s