481 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Carnegie Mellon University in United States
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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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Introduction to Machine Learning Staff TA - College of Engineering - Integrated Innovation Institute
the disciplines of engineering, design, and business, we can build impactful solutions that create value for real people. Carnegie Mellon University’s Introduction to Machine Learning course is looking for a
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systems in the research project, including testing and troubleshooting. Implement and test machine learning models, which may involve data preprocessing, model training, and evaluation. Create and maintain
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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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science. Faculty represent a range of disciplines including but not limited to organizational behavior, economics, information systems, machine learning, operations research, and statistics. A collection of
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Carnegie Mellon University (CMU) in Qatar invites applications for a CMU Visiting Faculty position in Psychology for Fall 2026. The position includes the following responsibilities: Teach two psychology
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addition to this load, successful candidates are expected to conduct research in collaboration with CMU-Q faculty or local partners. We are particularly interested in candidates in the areas of Computer Systems
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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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. Reporting student learning outcomes, class reviews, and analyzing student data. Advising students on how to be successful and achieve goals. Staying updated on innovations and changes within their course