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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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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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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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08.09.2025, Wissenschaftliches Personal with a strong connection to partial differential equations (numerics / analysis / modeling) (100%, TV-L) is available starting immediately. The position in
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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and
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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking
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modeling. Our research contributes to robust management concepts for the sustainable provisioning of diverse ecosystem services, and for maintaining the integrity and diversity of ecosystems in a changing
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(songbird) variables, and human restoration variables. We aim to produce maps of model predictions based on biodiversity indices, restoration variables in relation to urban green and built infrastructure. Job