463 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Carnegie Mellon University
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contracts. Approves expense reports and procurement card purchases and ensures accurate charging and timely processing of transactions. Monitor Workday and Oracle Labor Distribution and update information as
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who shares our values and who will support the mission of the university through their work. Qualifications: PhD in Operations Research or related area required A background in modeling optimization
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with 5 years' experience or PhD with 2 years' experience in Software Engineering, Computer Science, Electrical Engineering, or related field, with professional experience as a software developer or
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, MS with 8 years' experience or PhD with 5 years' experience in Software Engineering, Computer Science, Electrical Engineering, or related field, with professional experience as a software developer or
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Who we are 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
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What We Do SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. SEI works closely with academia, defense
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, Skills and Abilities BS with 10 years’ experience, MS with 8 years’ experience or PhD with 5 years’ experience in Software Engineering, Computer Science, Electrical Engineering, or related field, with
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distribution system for property velocity, volume, temperature and pressure. Provide technical assistance with the design of HVAC systems including installations and modifications to existing systems
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interdisciplinary programs and administrative functions within the university. It oversees areas such as the University Libraries, the IDeATe (Integrative Design, Arts, and Technology) program, the Entertainment
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from multiple disciplines and institutions. Required: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer