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to work independently and as part of a collaborative team; and Ability to work effectively with systems technical staff and business users. Preferred Qualifications: Experience with the MicroStrategy Cloud
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description: At the University of Vienna, almost 11,000 people work
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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high performance compute environments (cloud-based and slurm/lsf clusters) and model deployment platforms (e.g., Kubernetes, AWS SageMaker, Google Vertex AI, HF Inference). Experience with distributed
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, back-end, cloud or high-performance computing Able to optimize and deploy software applications for on-premise and/or cloud-native infrastructure Able to keep up-to-date with state-of-the-art software
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College of Saint Benedict/Saint John's University | Saint John, Indiana | United States | 26 days ago
Vacation and Sick Leave Life and Long-Term Disability Insurance Tuition Remission for Eligible Dependents Employer Contributions to a Retirement Plan Employee Assistance Program with access to free
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of virtualization, cloud computing, and endpoint management technologies. Knowledge of cybersecurity best practices, including identity management, data protection, and secure configuration standards. Equipment
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moving computers, printers, and other end user technology devices, including installing designated system images and application software Understanding of various current OS environments, Active Directory
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California State University, Long Beach | Long Beach, California | United States | about 4 hours ago
and trustworthy computing, AI-driven security and adversarial machine learning, security of cyber-physical and autonomous systems, and/or cloud or edge system security. Degree at time of application
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preservation of records of enduring value and associated metadata during systems and cloud storage transitions. * Develop, contribute to, and maintain local documentation on describing and accessioning digital