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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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, machine learning, data modeling, computational linguistics, and cultural analytics. Candidates with PhDs from a wide variety of disciplines are welcome - the initiative is interdisciplinary and will involve
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, machine learning, data modeling, computational linguistics, historical analysis, and cultural analytics. The Teaching Track at Carnegie Mellon is a career-focused, non-tenure faculty path with renewable
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a related discipline with 10 years of experience; OR an MS in the same fields with 8 years of experience; OR a PhD with 5 years of experience. You have hands-on experience with Rockwell Automation
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a related discipline with 10 years of experience; OR an MS in the same fields with 8 years of experience; OR a PhD with 5 years of experience. You have hands-on experience with Rockwell Automation
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a related discipline with 10 years of experience; OR an MS in the same fields with 8 years of experience; OR a PhD with 5 years of experience. You have hands-on experience with Rockwell Automation
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What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia
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interdisciplinary professional partners. • Other duties as assigned. Requirements: • PhD degree in computer science, applied mathematics or electrical engineering, with a focus on computer vision/machine learning
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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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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and