140 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Carnegie Mellon University
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existing software artifacts and leading customer engagements. The ideal candidate will have significant experience in full software lifecycle development, the ability analyze source code and mentor others
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solve technical challenges; we build the digital foundries that allow our nation’s most critical programs to deploy secure code at the tactical edge. Position Summary: As a Platform Engineering Intern
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, and ensuring compliance with institutional, federal, and regulatory standards. The technician will work closely with Dr. Keith Cook’s surgical research manager and research staff to promote animal
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Professor for the 2026-2027 academic year. This position, created through a gift of Eugene P. Shelly, is intended for experienced mathematics faculty members on leave or sabbatical from institutions
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operations teams to improve the full software delivery lifecycle—planning, building, testing, deploying, and supporting services—through automation, infrastructure-as-code, and modern DevOps practices
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existing software artifacts and leading customer engagements. The ideal candidate will have significant experience in full software lifecycle development, the ability analyze source code and mentor others
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code research Ideas for newspapers. Run baselines, experiments, and evaluations. Design, execute, and document experimental evaluations to validate model. Perform related technical support for
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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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of fire and life safety systems, from design and construction to maintenance and repair. This includes ensuring all work meets University standards and applicable NFPA codes. This is an exciting
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teaching assistant is a plus Preferred research skills include undergraduate research experience, coursework in statistics or econometrics, coding skills in R or Python, and exposure to computational