421 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The Computer Science Department (CSD
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engaged in the education, research, and administration efforts of the university. We are a learning organization and approach successes and mistakes as a learning experience to continually cultivate a
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willingness to assume responsibility and work collaboratively. Experience with various computer applications, including Microsoft Office products is expected with emphasis on Microsoft Excel Requirements
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machine shop, woodshop, and rapid fabrication lab that are located adjacent to each other, and staff frequently support student activities across all areas. Responsibilities: Teach and supervise students in
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for the Assistant AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm - in 1988, CERT has remained a leader in cybersecurity research, improving
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willingness to assume responsibility and work collaboratively. Experience with various computer applications, including Microsoft Office products is expected with emphasis on Microsoft Excel Requirements
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for the Assistant AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving
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vehicle validation. Design and implement machine learning models that capture the complexity and variability of real-world traffic situations, including unusual pedestrian behaviors, edge cases, and multi