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, cloud, and security. Providing an excellent experience for both staff and students the role holder will work closely with the Service Desk and other specific IT service areas in a 3rd line support
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28000925 Agency Northern VA Community College Division NV280-VP of College Computing Work Location Fairfax County - 059 Hiring Range Commensurate with Experience (Up to $125,000/yr max)) Emergency/Essential
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28000925 Agency Northern VA Community College Division NV280-VP of College Computing Work Location Fairfax County - 059 Hiring Range Commensurate with Experience (Up to $125,000/yr max)) Emergency/Essential
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countermeasures, and cloud security concepts. Candidates should possess a PhD or equivalent experience, ideally in computer or information science and preferably with a track record in the delivery of study modules
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by the collective bargaining agreement for the Minnesota State University Association of Administrative and Service Faculty (MSUAASF) which can be found at: https://www.msuaasf.org/St. Cloud State
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University of Potsdam, Department of Human Resources | Potsdam, Brandenburg | Germany | about 18 hours ago
8 Apr 2026 Job Information Organisation/Company University of Potsdam, Department of Human Resources Department Department of Human Resources Research Field Computer science » Other Researcher
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
Posting Description PROJECT MANAGER, Computer Science and Artificial Intelligence Lab, to support our multidisciplinary team in high impact science, with a passion for human genomics and its impact
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The University of St. Thomas invites qualified candidates to apply for a Cloud Engineer position on the Enterprise Application Development and Cloud team within Innovation Technology Services
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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management
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learning or multi-agent systems. Experience with cloud-native technologies (Docker, Kubernetes) or distributed computing. Experience with efficient neural architectures, scalable model design, or resource