31 assistant-professor-computer-"https:" "https:" "https:" "https:" "Kyoto university" positions at Brookhaven National Laboratory
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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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nanoscience. To support this program, the NSLSII must design, fabricate, assemble, test, install, and operate unique research equipment to generate, transport, transfer, accelerate and focus electron and X-ray
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, education and experience and considered with the internal peer group. Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an
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of the US Nuclear Data Program (USNDP), whose mission is to provide current, accurate, authoritative data for workers in pure and applied areas of nuclear science and engineering. This is accomplished
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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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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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. Please apply at https://bnl.wd1.myworkdayjobs.com/Externa/job/Upton-NY/Postdoctoral-Researcher-in-Quantum-Algorithms-and-Quantum-Information-Science-for-Quantum-Field-Theoretic-Applications-to-Condensed
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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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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
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workflows as extension to current beamline data analysis routine. Collaborate closely with beamline scientists, computational researchers, chemist and multi-institutional users to implement ML-assisted XAS