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24 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Mathematics » Probability theory Physics » Statistical physics Researcher Profile Recognised
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graphs for heterogeneous pavement engineering knowledge aiming to speed up the learning cycle and support innovation and asset management. Job description The increasing accessibility of data in
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engaged to advancing the frontiers of both fundamental physics research and practical device development, bridging the gap between fascinating theory and real-world applications. Our current research in
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behaviour. Behaviour analysis: evolutionary / cooperative / non-cooperative game theory considering equilibria, strategies, stability, convergence, and dynamics. Empirical/experimental design and emergent
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factors driving the behavior of involved actors. This involves a selection, integration and advancement of appropriate theories from environmental psychology and decision-making about climate-relevant
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed
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design. Their research contributes to the theory and practice of sensory and cognitive communication and augmentation design and the section is unique for its cross-disciplinary approach to design for real
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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foundational theory and real-world impact. Consortium This position is part of a European Doctoral Network consortium REUNATECH- NATECH Risk Management and Resilience of High-Tech Industries and Critical