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the organization externally; shapes company culture and values Cloud Computing — Designs resilient, secure, multi-region architectures; applies advanced IAM and cost optimization; Drives hybrid/multi-cloud
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
university Basic understanding of remote sensing and Earth observation data Familiarity with Python or R and interest in working with cloud-computing environments Ability to work independently, with attention
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sheltered annuity 403(b) and a deferred compensation program 457(b) Flexible spending account options for medical and childcare expenses Training and conference opportunities Tuition assistance Athletic
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sheltered annuity 403(b) and a deferred compensation program 457(b) Flexible spending account options for medical and childcare expenses Training and conference opportunities Tuition assistance Athletic
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deployment of scalable, secure, and flexible identity solutions that support cloud, on-premises, and hybrid environments, and ensure that identity and access management tools and practices are aligned with
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within the Corporate Services division and is responsible for the delivery of the integration capabilities in support of a highly strategic program for the University. The position will report to the Head
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tasks: You will work together with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement
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systems design, IT support, media asset management, cloud storage, cybersecurity, and disaster recovery planning. We collaborate closely with Creative Studios, Operations, and product engineering teams
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the offer is published. Website for additional job details https://upcxels.upc.edu/ Work Location(s) Number of offers available3Company/InstituteDepartment of Computer Architecture (DAC)CountrySpainState
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 10-Jan-26 Location: Notre Dame, Indiana Type: Full-time Categories: Academic/Faculty Computer/Information Sciences