42 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Brookhaven National Laboratory
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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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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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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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Requirements Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the past 5 years. Strong theoretical
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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
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Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation's future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning
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, United States of America [map ] Subject Areas: Materials Science / Engineering , Advanced Energy Materials , Energy science , Materials by design , Mechanical Engineering Appl Deadline: (posted 2025/11/05, listed until
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, Engineering , Machine Learning , Machine Learning and Artificial Intelligence , Machine learning methodology and applications , Machine Learning Theory , Mathematics , Mathematics, Statistics and Computer