11 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs at Carnegie Mellon University in United States
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a Pre-Doc Specialist position in the Robotics
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Professor will be responsible for teaching undergraduate and graduate courses in computer systems and algorithm design on a temporary basis. Teaching may be in our core courses alongside other faculty
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of Computer Systems and/or Software Engineering. Outstanding candidates in other areas are also encouraged to apply. Qualifications Have completed a bachelor’s degree in computer science or related fields by
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methods at the intersection of statistics and machine learning. Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work
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laboratory technician to play a key role in detector development for high-energy physics experiments. Learn more about this exciting department at https://www.cmu.edu/physics/research/nuclear-particle.html
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, United States of America [map ] Subject Area: Formal Methods and Machine Learning for Mathematics Appl Deadline: none (posted 2025/10/03 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description
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, cybersecurity, machine learning, software engineering, technology policy?depending on the course). Strong academic performance in the course(s) one is applying for Demonstrated mastery of CMU?standard tools
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entrepreneurship in the university’s DNA, it thrives on agility to seize pivotal moments and embrace the future in its persistent pursuit of excellence. For additional information about CMU, please visit https
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration. The Human-Computer Interaction
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, genetics/genomics, public policy, high-dimensional inference, sports analytics, and theory and methods at the intersection of statistics and machine learning. Collaboration, both within the Department and