412 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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professional associations; keep informed about developments in the government, military, and economic, scientific, political, and industrial fields as they apply to SEI products and services Coordinate business
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Mohadeseh Taheri-Mousavi’s group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds. Responsibilities
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scientific machine learning. Interest in interdisciplinary efforts is also valued. Commitment to and experience in teaching and mentoring student research are also desirable. Application Instructions
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are The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government
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, maintain accurate and detailed records, and prioritize multiple tasks. • Ability to understand and follow directions. • Visual acuity for extended computer use, data analysis, and document review. • Walking
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learning science and educational technology, Learnvia collaborates closely with faculty, researchers, and institutional partners to develop innovative, evidence-based learning experiences. We are seeking a
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events. Maintain and perform analysis on large quantitative datasets; develop and implement statistical or machine learning models to recover patterns of technology adoption, task organization and skill
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events. Maintain and perform analysis on large quantitative datasets; develop and implement statistical or machine learning models to recover patterns of technology adoption, task organization and skill