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world-class program that advances the state of the art in artificial intelligence, high performance computing, applied mathematics, computer and computational sciences. BNL's distinctive domain science
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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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years post-PhD, in Physical Sciences, Applied Mathematics or related field. Ability to employ sound software engineering methodologies. Demonstrated record in collaborative software development
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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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concept through computer aided analysis, detailed 3D modeling and design, and system interface efforts. Deliver all phases of the project work – design, engineering analysis, R&D, procurement and
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Knowledge, Skills, and Abilities: Bachelor’s degree with five (5+) years or a Master's degree with three (3+) years or a PhD degree in computer science or a related field (e.g., engineering, applied
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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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relevant work experience, or a PhD degree in computer science or a related field (e.g., engineering, applied mathematics, statistics). Good research experience and publication track record in ML and/or NLP