439 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St"-"St" positions at Carnegie Mellon University
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been at the forefront of advanced computing since its founding in 1986. For nearly 40 years, PSC has provided university, government, and industry researchers nationwide with access to some of the most
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been at the forefront of advanced computing since its founding in 1986. For nearly 40 years, PSC has provided university, government, and industry researchers nationwide with access to some of the most
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the Provost, Budget Office, and other key stakeholders. Drive results through effective collaboration with in-person and remote teams using cloud-based communication and workflow tools. Build strong cross
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developing countries around the world. We provide education on important issues of public policy that involve technology, such as the digital divide, cybersecurity, and green energy. Our program helps
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, was established in 1986, and for over 30 years has provided university, government, and industrial researchers with access to several of the most powerful systems for advanced computational research, communications
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, co-design, and joint decision making Required Qualifications: B.S. in Computer Science, Engineering, Mathematics or equivalent experience (M.S. or PhD is a bonus). 1-3 years combined graduate academic
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functions, and data visualization. Experience with data visualization platforms such as Power BI or Tableau is preferred. Experience with cloud-based ERPs and scenario planning software preferred. Possess
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for someone who thrives in an interesting and challenging work environment. You will contribute to the department by assisting functional business areas and Computing Services partners in executing the Disaster
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during