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theoretically rich and highly relevant for contemporary organizations. You will work on a multi-method research programme combining behavioural experiments, simulation-based decision tasks, and physiological
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addresses pressing social and health issues, studying phenomena such as inequality and digitalization. The team integrates methods and perspectives from social psychology, health psychology, public health
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will lead data analysis using longitudinal cohorts from various European countries and apply advanced statistical methods (e.g., ordered probit regression, mixed generalized linear models) to assess
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quantitative methods – You’re comfortable with data analysis and statistical techniques. We encourage you to outline in your application letter in what way you have demonstrated the required skills. What we
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researcher will perform cutting-edge research in computational modeling methods applied to regenerative medicine and more specifically, to bone regeneration. PhD in Computational Modelling of Bone Regeneration
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, epidemiology, health policy, or a related discipline. Demonstrated ability to conduct literature reviews. Skills in qualitative research methods (e.g., interviews, focus groups, Delphi studies) and/or
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engineering, and microfabrication. Analytical and inventive. You enjoy exploring new methods and translating them into practical sensor designs. Collaborative by nature. You thrive in a diverse, international