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crucial; Design interventions to reduce bias and improve fairness and safety in human-AI interaction. The research will combine computational modeling (e.g., NLP, machine learning, deep learning) with human
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emotion safety is crucial; Design interventions to reduce bias and improve fairness and safety in human-AI interaction. The research will combine computational modeling (e.g., NLP, machine learning, deep
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doctoral programme is designed to train world-class researchers in Strategic Management and Entrepreneurship, with a strong emphasis on quantitative methods. We combine in-depth knowledge of key topics in
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Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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, Antonia Krefeld-Schwalb, Anne Klesse, Bram Van den Bergh) in the domain of reinforcement learning, deep learning, causal inference, field experiments, consumer behavior, human-AI interactions, behaviorial
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human perception and cognition. Experience in: experimental methods, computer rendering or VR/XR, programming. Affinity with multidisciplinary work, combining science, art, and technology. Enthusiasm
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Job description The exponential increase of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination
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collaboration with the Netherlands Organisation for Applied Scientific Research (TNO), you will develop agent-based models (ABM) to simulate how people move, make activity choices, and interact with
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Netherlands Application Deadline 1 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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comprehensive programme that considers climate change and stability in an integrated manner, with focus on human security, security of supply of fundamental needs (water, food) and essential resources (energy