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California State University, San Bernardino | San Bernardino, California | United States | 2 days ago
departments as well: Training Services, Accessible Technology Services, Smart Classroom Technologies (SCT), Enterprise and Cloud Services (ECS), Office of the CIO, and Office of the Vice President. All tasks
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local and cloud databases and storage platforms, survey and database design, data modelling and electronic lab notebooks, information identifiers and metadata standards. C2 Skills developing statistical
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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. The team develops reporting solutions utilizing tools such as Power BI and ARGOS; processes utilizing Atlassian’s Cloud Suite; and supports vendor-supplied software systems, including Visix Signage Suites
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. Full-stack experience with Dajngo or other similar frameworks. Experience with HPC environments (SLURM) and/or cloud computing The Rockefeller University is an equal opportunity employer - veterans
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. For UNR Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778. Job Description The University of Nevada, Reno seeks a Server and Cloud Administrator supports
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modeling). Experience working with HPC/GPU resources and job schedulers (e.g., Slurm) and/or cloud-based deployments. Track record of contributing to peer-reviewed publications as a computational specialist
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-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms. Develop methods for efficient deployment of AI models on cloud and edge devices
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processing to cloud-based computing • Development of highly accessible data bases with in situ computing • Graphics Processing Unit acceleration of scientific data processing Candidates need not have a strong
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure