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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where
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personalisation with polyvocality: adapting to individual visitors while also encouraging engagement with unfamiliar, marginalised, or challenging perspectives. Many current conversational agents and recommender
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actors’ is recognised internationally as a core element of Open Science (OS). However, current frameworks for monitoring OS are ill-equipped for capturing the variety and impact of such Public Engagement
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on current urban challenges in Amsterdam (specifically regarding housing and energy) and bridges academic analysis with concrete policy and practical questions. This position offers a unique combination of
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that influence human interaction and learning. While multimodal systems are already being developed to monitor physical and cognitive engagement, current approaches offer limited interpretability and often do not
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-society dialogue and building public trust in the knowledge production process, ‘open engagement with societal actors’ is recognised internationally as a core element of Open Science (OS). However, current
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this period.
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of 30.4 hours per week (0.8 FTE) for a maximum period of 18 months, with a probationary period of 2 months. The salary will range from € 4,728 to €6,433 gross per month on a full-time basis (38 hours per
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, equipping decision-makers with practical, scientifically grounded tools to evaluate risks, cash flows, and long-term business viability. Your Role We are seeking a highly motivated and creative postdoctoral
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, and interviews scheduled during the recruitment period. Therefore, you will receive feedback and information about a possible follow-up process shortly. If a suitable candidate is found before