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, and Abilities: Current Ph.D. student in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics). Strong understanding and practical knowledge in AI Excellent
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candidates should have a major in electrical engineering, computer science, or applied mathematics. A background in electric power systems modeling and simulation and data analytics and machine learning
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, data science, mathematics, or closely related fields (e.g., physics) Demonstrated experience with data science, especially statistical hypothesis testing, uncertainty quantification, pattern analysis
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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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(Engineering Change Notification) Ability to work directly with scientific, engineering and technical staff Maintain and implement safety practices and procedures applicable to daily activities Required
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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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Apply Now Job ID JR101405Date posted 09/12/2024 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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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