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Engineering, or a related field. Experience in robotic perception, control, or learning-based methods. Proficiency in Python and C++ for AI and robotics applications. Familiarity with robotic middleware (e.g
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candidate will undertake tasks in WP2 on the AI4MAP project focusing on developing deep learning models for ecological perception and characterisation of Posidonia oceanica seagrass. The tasks include
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intelligence, computer vision, object detection, and deep reinforcement learning for perception, artificial intelligence concepts and techniques in the field of transport and infrastructure. What We Offer Full
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meet the specialized behavioral demands of different animals. More information about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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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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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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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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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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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