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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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Responsibilities: Assist in research and development of computer vision-based tools and prototypes. Implement and test algorithms using OpenCV and related libraries. Design and iterate on intuitive and efficient
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on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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of advancing algorithmic foundations in robotics. Lab maintenance, including equipment maintenance and ordering of supplies as needed. Participate/assist in manuscript writing for publication in scientific
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Theoretic algorithms of defense, and how those can/should be modified to account for human attacker’s biases. To accomplish this goal, we study attacker’s behavior and create cognitive computational models
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to the department by providing support for an industry-sponsored project focused on optimizing distributed healthcare supply chains using AI and analytics. Core responsibilities include: Help build machine learning
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of algorithms Ability to design, implement, and execute empirical studies, General fluency in machine learning methodology, Joining the CMU team opens the door to an array of exceptional benefits, available
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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distribute information for meetings, conferences and publications and conduct occasional meetings with project sponsor personnel; Other duties as assigned Adaptability, excellence, and passion are vital
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awards Plan, coordinate and distribute information for meetings, conferences and publications and conduct occasional meetings with project sponsor personnel Other duties as assigned Adaptability