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they compare evidence, calibrate uncertainty, justify claims, and move between different forms of representation. Postdoctoral Researcher in Science Education Our goal: To better understand how students
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warning can substantially reduce damage at relatively low water depths. There is considerable uncertainty around these damage functions and around the effects of such measures. This postdoc project
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inference pipelines for soft biomechanical systems, including differentiable physics engines, to support interpretable analysis, parameter estimation, sensitivity studies and uncertainty quantification. By
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, data analysis and programming, preferably in Python you have knowledge of climate adaptation, infrastructure resilience, decision making under (deep) uncertainty or cost benefit analysis you have
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architectures (e.g. neural ODEs, flow matching and continuous normalising flows), robustness, interpretability and uncertainty quantification; collaborate with researchers across the ACT to identify emerging
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shaped by and through colonial exploitation and appropriation. The longer time horizons, transnational payments and novel uncertainties of colonial expansion and exploitation are at the heart of modern
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the technical and economic uncertainties that currently stand in the way of assessing this option. As a postdoctoral researcher, you will develop models needed to design tunnels with concrete lining at disposal
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a postdoctoral researcher, you will: Integrate hybrid traffic models and data assimilation methods into a coherent prediction framework. Develop uncertainty quantification methods and explainable and
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. Develop uncertainty quantification methods and explainable and trustworthy AI approaches. Design visualisation to support decision-making by traffic operators and strategic advisors. Collaborate closely
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with consideration of dynamic constraints, perception uncertainty, contact interactions, or real-world deployment. Strong programming skills in C++ and/or Python, with experience in robotic software