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“Equilibrium Learning, Uncertainty, and Dynamics.” About the Project Market interaction is increasingly automated by artificial learning agents. Examples include pricing agents in electronic retail or bidding
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, equitable, trustworthy, and context-sensitive. Multi-agent architectures where multiple AI systems collaborate, negotiate, and adapt to model complex human learning processes and support group work
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verification scalable and reliable. Learn more about logical zonotopes: [paper link ] | [talk link ]. You will conduct original research on logical zonotope based methods for model checking and digital circuit
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labeled data and that the learned intelligent agents can perform better than humans. Instead of verifying the correctness of neural networks, we build a safety net that only forwards safe actions
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
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22.04.2022, Wissenschaftliches Personal The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics
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domains Hands-on experience with robotic hardware (e.g., robot arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in
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arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in programming (C++, Python), and experience with ROS
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generation of stem-cell derived models, these platforms open new avenues to systematically explore tissue self-organization and disease mechanisms. The group of Prof. Bausch is establishing an automated cell
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Master's degree in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, Data Science or a related field Strong mathematical and analytical skills for model formulation