456 computer-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Carnegie Mellon University
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, working directly with Department of War (DoW) program offices and stakeholders to help them navigate complex technical, organizational, and acquisition challenges. This position emphasizes leadership
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The Office of Enrollment Management at Carnegie Mellon University is seeking a dynamic, student-centered professional to lead the Tartan Ambassador program—an integral part of the university’s
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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sells CMU merchandise, computers, art supplies, office products and gifts. This is an excellent opportunity for someone who thrives in an interesting and diverse work environment. Core responsibilities
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generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research
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program and potential for mentoring and advising undergraduates. All qualified candidates are encouraged to apply. This appointment requires teaching a Computational Linear Algebra for Data Analytics
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of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program
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. Qualifications: Bachelor’s degree required. Three to five years of event planning, customer service, or guest relations experience. Familiarity with Salesforce preferred. Knowledge of various computer applications
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. This encompasses the full pipeline of organ biofabrication—from computational design and advanced bioprinting to bioreactor maturation and in vivo validation. The LIVE project represents a bold and collaborative
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unprecedented data sets with the potential to answer fundamental questions about the universe. At the same time, the flood of data will introduce new computational challenges. We are looking for full-stack