155 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Carnegie Mellon University
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with building codes Other duties as assigned Flexibility, excellence, and passion are vital qualities within the department of Facilities Management. Inclusion, collaboration and cultural sensitivity
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closely with the INI faculty and staff to identify and develop new market opportunities for the INI globally, in the U.S. and in the Pittsburgh region. In addition, the Director of Strategic Relations
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maintenance problems or concerns Following all required traffic laws as contained in Title 18, The PA Vehicle Code, and all Federal DOT regulations and requirements for CDL operators Maintaining constant direct
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Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University. What you’ll do Reverse engineer malicious code
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, you will identify, shape, apply, and conduct research in support of critical U.S. government needs. The ideal candidate will have a strong background with hands-on experience in one or more of the
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possess an active TS/SCI DoW security clearance issued by the U.S. government. A counterintelligence polygraph is required or must be obtained upon request. Applicants must also meet additional customer
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Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University. What you’ll do Reverse engineer malicious code
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malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader
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help is needed. Must understand the scope of the job assigned and connect with customers to ensure scope of work is understood. Proven understanding of the National Electrical Code and applicable City of
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; comfortable developing production‑grade code and APIs. Solid understanding of ML theory, statistical learning, and common algorithms. Hands‑on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep