458 computing-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData"-"BioData" positions at Carnegie Mellon University
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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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Program Executive Offices (PEOs) and Program Management Offices (PMOs), sustainment organizations, contractors, and fleet stakeholders to ensure software solutions meet operational, maintainability, and
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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
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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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challenges. Requirements: Enrolled in a degree granting program. Willingness to travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community. You will be
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national resource in software engineering and computer security. SEI works closely with academia, defense and government organizations, and industry to continually improve software-intensive systems. Our
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comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved
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will vary depending on job function. Functional areas could include audio, piano, print shop, etc. Other duties as assigned. Flexibility, excellence, and passion are vital qualities within Computing
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of experience, an MS with 8 years of experience, or a PhD with 5 years of experience in Computer Science, Electrical Engineering, or a related field. You’ve worked in a collaborative team environment as a
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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