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dashboards and visualizations using Tableau. • Exposure to cloud-based data platforms or big data technologies. Additional Posting Information: JMU’s Dual Career and Community Resources Program is available
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research computing resources at BU and beyond, including national supercomputing centers Help design, optimize, and troubleshoot HPC, cloud, and storage workflows Provide training and outreach to grow BU's
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research computing resources at BU and beyond, including national supercomputing centers Help design, optimize, and troubleshoot HPC, cloud, and storage workflows Provide training and outreach to grow BU's
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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational
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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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backgrounds 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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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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program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Pay and Benefits Pay Range: $62,232 annually; depending
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 22 days ago
7 Mar 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Computer science » Computer
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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