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Field
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-to-end experimental paradigms, including behavioral training and tracking, multi-Neuropixels recordings, imaging- and function-based recording path registration, and data quality control pipelines
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Postdoctoral Fellow in the area of quantum mathematics, especially quantum topology, including skein theory, topological quantum field theory, and applications to quantum computing. Position Number 4C2387
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department and the Plant Reproductive Strategies (SRP) team. Our team focuses on the evolution of plant reproductive systems, using diverse approaches including theory, experimentation, bioinformatics, and
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computing, control theory, computer vision, or numerical simulations. Experience with Python-based scientific programming Excellent problem-solving skills, Ability to work collaboratively in a
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, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration with industrial
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world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
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• Learning pedagogical analysis and design • Control theory or reinforcement learning • Game-based or interactive training paradigms • Experience collaborating across disciplines • Research in ethics, agency
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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mathematics to work with Axel Ringh on a project funded by the Swedish Research Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types