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Requisition Id 15639 Overview: We are seeking a Junior Staff Research Scientist to develop, implement, and analyze state-of-the-art, trustworthy deep learning methods that advance scientific
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center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics Cluster Management and Optimization: Oversee the installation, configuration, and management
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partnerships, or program management within the federal or defense sector. Deep understanding of AI/ML technologies, national security missions, and government acquisition processes. Proven track record
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learning conferences and journals. Be a part of a collaborative research environment which will provide the opportunity to perform cutting-edge research in deep learning and scientific computing. Deliver
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mathematically rigorous approaches to optimize the trade-off between privacy and utility especially in the context of large models. Advance knowledge of key AI methods such as deep learning, algorithm design
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Research Associate to develop and apply scalable artificial intelligence (AI) / deep learning (DL) methods to advance multi-scale coupled physics simulations in support of the missions and programs of the US
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from plant genomics to phenomics with biological mechanisms embedded in deep neutral networks. GPTgp will allow task-specific training and transfer learning across reactions, pathways, biodesigns, and
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engineering, architecture, architectural engineering, or related field completed within the last five years. Experience in building energy modeling and analysis. Deep understanding of building thermal physics
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, high performance computing and deep learning. The candidate will work in a collaborative research and development environment focusing on designing, implementing, and applying robust and high performance
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plasma-material interactions in fusion energy systems. You will also advance knowledge of key AI methods such as deep learning, operator learning, and Bayesian optimization, and apply it to develop next