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Field
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-enabled infrastructures. ToM-Enabled Multi-Agent Cooperation: Equip autonomous agents to model the mental states of other agents, allowing prediction of behaviours, conflict resolution, and coordinated
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A funded PhD position at SDU Physics - Interdisciplinary research within experimental soft matter...
density on flat dishes can detach altogether and get complex shapes, depending on their initial orientation. By controlling the orientation, we can predict the final shape, in the same way that the folds in
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validate the concept. This includes: - Translation of simulation insights into reactor design - Experimental investigation of particle retention and transport - Comparison between model predictions and
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Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to
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warning and adaptive control to ensure safe and reliable human–robot interaction. The PhD project will develop AI-empowered predictive models that anticipate network delay and instability using historical
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. The lack of knowledge is related to the models that should be used to auralize UAM in urban environments: new models are needed to predict noise exposure in urban cities. Traditional aircraft noise studies
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, separations, and energy storage, rely on liquids operating inside nanoporous materials. At this scale, liquids behave in unexpected ways that cannot be predicted from bulk properties, yet these effects often
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: formulate and analyze stochastic models of evolving populations using methods from statistical physics, applied probability, and population genetics; develop inference frameworks that link model predictions
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statistical physics, applied probability, and population genetics; develop inference frameworks that link model predictions to genomic and epidemiological data; design controlled computational experiments
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failure (if they can), but they cannot explain why it happened or calculate the exact contribution of each individual stressor. Furthermore, these models often fail and make overconfident predictions when