426 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Carnegie Mellon University
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Learning (TEEL) Lab is seeking a Software Engineer (Back End Systems) to maintain, improve and evolve the cloud infrastructure that powers our learning and research platforms. The TEEL Lab (https
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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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, maintaining, and exercising DR Plans for systems, data, infrastructure, security, cloud, and hybrid solutions or equivalent technical experience. Bachelor's degree in Computer Science, Engineering, Information
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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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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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resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive