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, Switzerland. BNL is the host laboratory for the U.S. ATLAS Operations Program, the U.S. ATLAS HL-LHC Upgrade Project, an ATLAS Tier-1 computing facility, and is designated as part of the U.S. ATLAS Support
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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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mathematics, statistics) awarded within 5 years. Strong theoretical understanding and practical experience in machine learning, foundation models, and computer vision. Strong publication record in machine
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mathematics, statistics). Solid programming skills and computer science knowledge. Familiar with deep learning libraries. Research experience and good publication track record in machine learning field
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Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics) awarded within the last 5 years. Strong
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experience, or a Master's degree with 1 or more years of relevant work experience, or a PhD degree in computer science or a related field (e.g., engineering, applied mathematics, statistics). Good research
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the department on new potential collaborations. Position Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics
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. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning