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Czech Academy of Sciences, Institute of Information Theory and Automation | Czech | about 2 months ago
machine learning, perception psychology, hardware prototyping and/or computer graphics as well as interest in fundamental research and experimental working. Strong skills in VR, deep learning, computer
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probabilistic frameworks. Experience with machine learning or AI methods for localization or perception (e.g. learning-based SLAM, data-driven sensor fusion) is a plus. Underwater or field robotics experience
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discipline (computer science, neurosciences, biology, cognitive sciences) • Skills in perception psychology, neurosciences, machine learning, tracking technology and/or computer graphics as well as interest in
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timeframes Ability to present, probe, persuade, and actively listen to physician needs and respond with the right mix of clinical information that produces results and reinforces positive perception of Dana
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capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied
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AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical
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environment with strong industrial links and a focus on innovation and sustainability. https://www.tum.de/ Chair of Perception for Intelligent Systems (PercInS) PercInS develops AI-driven perception systems
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systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
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. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation embodied agents that interact naturally and safely with humans and their environments
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, additive manufacturing