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reinforcement learning for robotics applications. Hands-on familiarity with robotic manipulators and motion planning. Proficiency in deep learning frameworks such as PyTorch or TensorFlow. Experience with ROS
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 25 days ago
are the following: This grant aims to benchmark deep learning-based CAD-Free RGB(D) pose estimation methods for spacecraft applications (2 grants) This grant aims to develop robust MPC strategies based on two player
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across HR operations, compliance, learning facilitation, and recruitment. This is a highly operational, hands-on role that involves detail-oriented work, including managing HR records, onboarding
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Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender
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-South-Main-Street/Research-Assistant_REQ207057 Job Description: Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students
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) Mentor undergraduate and graduate students with their projects and teach how to use new instrumentation. 8) Contribute ideas for new research projects. 9) Stay informed of new literature related
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Skills :Programming, Research Knowledge :IA, Deep Learning, Python Where to apply Website https://rubis.univ-spn.fr/offres/voir/206 Requirements Specific Requirements Be a graduate of an Engineering
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(Part Time) Posting Number req25576 Department School of Plant Sciences-Res Department Website Link https://spls.arizona.edu/ Location Tucson Campus Address 1657 E. Helen St., Tucson, AZ 85719 USA
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systems. Ths position requires a deep understanding of X-ray Absoprtion Spectroscopy and prior experience with methods of machine learning and artificial intelligence. A highly competitive candidate would
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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object