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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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Range $57,151-$108,003; Competitive based on experience. FTE Full-Time Negotiating Unit UUP FLSA Exempt Department Website https://www.itec.suny.edu Brief Job Description This position is for a support
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, notifies program/department chair. Minimum Qualifications: A qualified faculty member in Cloud Technologies meets the program standard through one of four routes: Possesses an earned master’s degree
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Marketing & Brand Management Department Website Link https://marcom.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Marketing Coordinator at the University of Arizona plays
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, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge
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regarding accessibility, privacy, and ethics standards. Performs other duties as assigned. Minimum Qualifications Bachelor’s degree in computer science, Data Science, Software Engineering, a related field
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, or experience with writing in any language that is not their original language, or interest or experience in any kind of teaching, or facility with computer applications such as cloud documents, spreadsheets
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, United States of America [map ] Subject Areas: Computer Science / Data Science Animal Science Salary Range: $80,000-$85,000 Appl Deadline: (posted 2026/03/26 04:00 AM UnitedKingdomTime, listed until 2026/09/27 04:59 AM
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
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), cloud computing services (such as Google Cloud, Microsoft Azure, and AWS), and web application frameworks (such as R Shiny). Experience building reliable data pipelines that ingest and process data