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computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence
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(SJLIFE) and the Childhood Cancer Survivor Study (CCSS), and the largest pediatric cancer genome database, St. Jude Cloud. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's
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to federal research proposals, sponsored research applications, and collaborative project reports. Familiarity with scalable computing environments, cloud platforms, high-performance computing, distributed AI
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include: Conducting high-resolution model simulations of convective storms Contributing to model development using AI/ML approaches in areas such as clouds, turbulence, land–atmosphere interactions, and
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 21 hours ago
learning, databases, and cloud platforms using Python and JavaScript. Version control with Git To be eligible for this opportunity, you must: Have one of the following academic statuses An undergraduate
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-to-cloud integration to enhance power system security. Analyze the impacts of variable generation, electronic loads, weather events, power electronics, and energy storage systems on grid resilience and
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
associate to investigate innovative methods for linking environmental data, clinical research data, and EHR and other real world data in a secure cloud environment to support biomedical research. Specifically