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strong background with hands-on experience solving problems in one or more of the following technology areas: Applied Machine Learning and AI: Research and implement machine learning principles, techniques
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machine shop, woodshop, and rapid fabrication lab that are located adjacent to each other, and staff frequently support student activities across all areas. Responsibilities: Teach and supervise students in
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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lab employees including assignment of day-to-day duties. Assists with hiring. May program software in support of job functions. Perform research in the area of machine learning for robotics and video
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shipped out by common carrier. Core responsibilities include: Complete data entry into a computer or assigned logbooks, maintain accurate records, take orders from customers over the phone, fax, and e-mail
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lab employees including assignment of day-to-day duties. Assists with hiring. May program software in support of job functions. Perform research in the area of machine learning for robotics and video
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Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human-computer
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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checks that comply with IRB/ethical standards. Design and implement computer-vision algorithms. Develop, test, and refine deep-learning models (e.g., detection, segmentation, tracking) in PyTorch
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measuring instruments. Familiarity with general machine shop equipment and practices. A strong interest in and a learning orientation towards advanced manufacturing technologies and processes. Experience in