414 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" uni jobs at Carnegie Mellon University
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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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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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, 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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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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. 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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. 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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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