43 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Brookhaven National Laboratory in United States
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the site which includes access to the Laboratory for interviews. About Us Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure
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information at BNL | Benefits Program The Chemistry Division (http://www.bnl.gov/chemistry) of Brookhaven National Laboratory (BNL, http://www.bnl.gov) seeks a postdoctoral Research Associates to join the newly
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. This structured apprenticeship combines on-the-job training (OJT), related technical instruction (RTI) in a classroom environment, and mentorship from experienced professionals. Apprentices will assist in
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information at BNL | Benefits Program The Facilities & Operations (F&O) Directorate supports Brookhaven National Laboratory's (BNL) science, technology, and environmental restoration missions by delivering safe
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, United States of America [map ] Subject Areas: Nuclear Theory / Dense QCD , Heavy-ion physics , Nuclear Structure Theory Appl Deadline: none (posted 2025/11/05) Position Description: Apply Position Description Brookhaven
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project planning and control functions for large scientific construction projects and smaller Research and Development projects. The candidate should have experience with and proficient skills in Excel e.g
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the expertise and facilities in specialized high technology areas essential for this work. Development of facilities is motivated by present Brookhaven research programs and anticipated future directions of
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, engineering, and technical staff. NSLS-II supports an international user community of over 2,200 researchers from 400 universities. NSLS-II performs all these functions in an environmentally responsible and
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expertise and technology are in place to advance our mission of bringing science solutions to the world. Reporting to the ITD Infrastructure and Operations Department Manager, the Senior IT Infrastructure
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Knowledge, Skills, and Abilities: Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, with a strong foundation in artificial intelligence and machine learning