19 machine-learning-"https:" "https:" "https:" positions at Carnegie Mellon University
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publication record in sensing systems, mobile health, or HCI. Experience with signal processing, machine learning, or embedded systems is a plus. Carnegie Mellon University is an equal opportunity employer. It
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, automated reasoning and symbolic AI, and machine learning and neural AI. Applicants should submit their cover letter, research statement, CV, and list of references to positions@icarm.io. Applications will be
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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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, and machine learning. Qualifications Candidates should have a background in both neuroscience and engineering, with demonstrated experience teaching at the university level or in other relevant
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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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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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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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to strengthen the security and resilience of computer systems and networks; and The Software Solutions Division, which focuses on improving lifecycle engineering technologies and assuring complex, software
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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to strengthen the security and resilience of computer systems and networks; and The Software Solutions Division, which focuses on improving lifecycle engineering technologies and assuring complex, software