155 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at Carnegie Mellon University
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online testing of the planner in different operational configurations Conducting extensive simulation testing of the planner in a variety of uncommon configurations Documenting the code and supporting
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, uncertainty and calibration approaches, and repeatable test pipelines. Engineering rigor appropriate to the task: Write clear, maintainable code and documentation with a level of engineering discipline
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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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curious to deliver work that matters, your journey starts here! In a region booming with opportunities, CMU is the only U.S.-based research university offering its master’s degrees with a full-time faculty
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that delivers timely and high-quality results. We’re looking for a creative engineering student to design and develop software prototypes, find weaknesses in source code and research methods for software
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, uncertainty and calibration approaches, and repeatable test pipelines. Engineering rigor appropriate to the task: Write clear, maintainable code and documentation with a level of engineering discipline
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-aided control of manipulators on mobile robots for real world applications Prototyping in scripting languages Transitioning applications to deployment with production quality code Designing, developing
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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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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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; 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