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behavior. (2) Evaluate their effects on performance, safety, and security metrics. (3) Propose and validate mitigation and hardening techniques at the model, system, and learning levels. The targeted
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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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procedures related to section building, ordering, maintenance, prior learning assessment, exception to degree audits and other Academic Support Services' processes ? Develops and maintains procedure manuals
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faculty certification training ? Designs, develops, facilitates, and maintains training curriculum for TCC Connect instructors ? Researches and recommends online learning technology solutions ? Provides
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: Experience or familiarity in one or more of the following: Embedded or real-time software systems Robotics or autonomous systems Computer vision or image-based sensing Controls systems or automation Data
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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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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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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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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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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