30 assistant-professor-computer "https:" "https:" "https:" positions at Brookhaven National Laboratory
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lead instructor with facilitation as needed. Support lead instructor in program preparation as needed. Enforce BNL safety regulations and program expectations. Assist in program development as needed
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of the Lab's fiscal matters and its approximately $900 million annual budget. The Business Services Directorate (BSD) has openings for student assistant positions within varying business offices within
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that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program The position being advertised is
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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 receive. Review more
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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 receive. Review more
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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 receive. Review more
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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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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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. 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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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