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data. ● Prior experience using high-performance computing and/or cloud computing environments for scientific computation. ● Experience building or applying machine learning models. ● Prior experience
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maintaining scientific and analytical software, troubleshooting issues, and helping research groups transition to CARC’s high-performance computing or cloud environments when needed. This role requires a strong
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integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to
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are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary Rutgers, The State University of New Jersey
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scalable, highly available, highly reliable and fault-tolerant systems on advanced computing architectures including cloud computing infrastructure. Architect, design, and deploy software applications based
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-environment relationships, and Geographic Information Science and Technology (GIST), and Environmental Programs in Geosciences. We are based in the College of Arts & Sciences ( https://artsci.tamu.edu
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Clarity/Caboodle) and cloud storage. Build and host production-grade web portals and REST APIs for secure researcher/clinician access supporting role-based permissions and audit trails. Leverage OpenAI LLMs
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bioinformatics/multi-omics data. • Excellent written and oral communication skills. Preferred Qualifications: • Experience with cloud computing and high-performance clusters (HPC). • Experience with machine
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practices, such as CI/CD pipelines, containerization, or cloud platforms. Where to apply E-mail info@k3ylabs.com Requirements Research FieldComputer science » Computer systemsEducation LevelMaster Degree
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of progressive IT leadership experience, preferably in higher education or similarly complex environments. Demonstrated expertise in IT governance, data governance and privacy, enterprise systems, cloud computing