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algorithmic game theory approaches. In terms of the optimization aspects, relevant topics include: single and multi-criteria optimization, dynamic constraints, uncertainty and risks, costs of actions, and
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potential to: mitigate redistribution of actions, due to long-term loading and moisture changes over time reduce uncertainties of actions due to material/connection stiffness variability for high seismic
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years. Previous and short-term stays in Germany (such as visiting professorship) do not usually exclude a candidate from nomination. In cases of doubt, please contact us at info[at]avh.de so we can
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exclude a candidate from nomination. In cases of doubt, please contact us at info[at]avh.de so we can advise you. Can a German national be nominated? You may nominate academics with German citizenship
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for the effects of multi-value prize uncertainty on contestant behaviour: an experimental study. Existing candidates and candidates with a current offer for admission to a program wishing to apply for HDR
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. This involves 'handcrafted' expert systems, which are good at reasoning about narrowly defined problems, but poor at handling uncertainty and have no ability to learn or abstract/generalise. In that sense
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and cost outcomes, which include but are not limited to Statistical (risk) modelling, Model calibration and uncertainty estimation, Causal learning for explainable machine learning, Transparent
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. Kontakt: johannes.betz@tum.de More Information https://www.mos.ed.tum.de/en/afs/career/our-jobs/planning-uncertainty-1/
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: You will study the effects of privacy-preserving machine learning on memorisation, fairness, interpretability and model uncertainty utilising techniques from information theory and quantitative
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will research strategies on including physics and enhance active learning as well as aim at reducing catastrophic forgetting. You will research how to uncover uncertainties that are hidden to sensors and