31 computer-"https:" "https:" "https:" "https:" "U.S" "UCL" "UCL" "UCL" positions at Brookhaven National Laboratory
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expertise in radiological engineering and nuclear materials management. The Instrumentation and Calibration Group Leader manages the Laboratory's radiological instrumentation and calibration program, serving
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group. Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees
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Intelligence Learning department of the Computing and Data Sciences (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate
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SharePoint. Environmental, Health & Safety Requirements: The ability to work at a computer/keyboard for extended periods is essential. Other Information: This is a hybrid position requiring 4 days onsite
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work in the United States and U.S. News and World Report named Fort Worth one of the Best Places to Live. Fort Worth, Dallas and Arlington all rank among the top 25 most diverse cities in the country
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laboratories, academic institutions, and industry partners, assembled to address challenges facing scalable quantum computing and provide breakthroughs to strengthen U.S. leadership in QIST. The C2QA scientific
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comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program JOB DESCRIPTION: We are looking for a
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Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at
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systems process analysis. Required Knowledge, Skills, and Abilities: Candidates must be majoring in one of the following: Business/Finance, Computer Sciences, Math, Economics or Accounting. The ideal
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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and