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(deep learning, generative models, NLP, computer vision) and integrate these approaches with Lab-scale HPC and cloud environments. Develop and optimize pipelines that combine HPC with AI frameworks
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technologies: C, shell, and Python programming languages Git, runners, and complex CI/CD pipelines Using and developing AI (or machine learning) tools and services Database administration and optimization
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. Experience with GPUs and performance optimization of ML at scale. Familiarity with containerization and HPC workflows. Notes: This is a full-time, career appointment, exempt (monthly paid) from overtime pay
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on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and
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domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run
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on hybrid modules, power boards, and sensors. Set up and optimize bonding parameters for various materials and applications. Ensure alignment and bond integrity per engineering specs. Conduct visual and
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technologies that power groundbreaking x-ray science. You'll work closely with a multidisciplinary team to develop, integrate, and optimize state-of-the-art detector systems at one of the world's leading