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to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of
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computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network
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. Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will
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restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any
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multidisciplinary collaborations. Experience with large-scale ML/NLP model training (e.g., data, model, pipeline parallelism) Strong familiarity with software development tools, environments, and best practices (e.g
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working as part of multidisciplinary scientific collaborations. Familiar with Linux, Bash, Git, Docker, and/or other software development tools. Compensation: Brookhaven National Laboratory is committed
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salary for this position is $38.33 hour Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States
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are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose
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Energy Security and Essential Resource Independence Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in
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operational issues arising from meeting the goals defined in the lab growth agenda. Developing processes and procedures to mitigate compliance issues with contracting. Work closely with internal teams