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uncertainty". The goal of this project is to advance our understanding of how humans are able to act in complex and uncertain circumstances, and how such knowledge can be applied to smooth our interaction with
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) or PostDoc researcher to join our Industrial Engineering & Business Information Systems (IEBIS) section at the Faculty of Behavioural, Management and Social Sciences. This position allows you to contribute
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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health research professionals within the institute 4 Preventive Health. Your qualities You are an enthusiastic researcher that is able to simultaneously dive into complex epidemiological issues and
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science or another field related to the topic. You have experience in systematic data collection, statistical analysis with appropriate software, and, in particular, describing complex systems by simple
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employ complex system dynamics and feedback mechanisms to understand how, where and when to intervene. System dynamics highlights which factors and policy (mix) can accelerate behavioural change by
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biology and systems chemistry/complex molecular systems. The research programme of the Feringa group focuses on synthetic and physical organic chemistry, inspired by Nature's principles of molecular
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related field, with relevant research experience in the field of digital twins or modelling and simulation for the design and development of complex systems. You should have excellent interpersonal and
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the understanding of what works, for whom, and under which circumstances in the context of lifestyle behavior change. Behavior change is complex because of the many multi-level factors at play and often requires