43 computer-science-intern "https:" "https:" "https:" positions at Brookhaven National Laboratory
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and improved platforms for quantum computation and communication and thus strengthen U.S. leadership in QIST. This calls for expertise across disciplinary sciences – encompassing quantum information
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. *Familiarity with topological phases of matter and their classification. *Some experience with quantum information science research is desirable but not essential. Application Instructions: Candidates
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. This calls for expertise across disciplinary sciences - encompassing quantum information theory, physics of quantum materials - to develop new design principles for scalable, fault-tolerant quantum computing
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, JR102161] Application Title: Postdoctoral Researcher in Quantum Algorithms and Quantum Information Science for Quantum Field Theoretic Applications to Condensed Matter, Nuclear, and High Energy Physics
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information science research is desirable but not essential. Application Instructions: Candidates are required to submit a Resume or CV and a Research Statement, not to exceed 3 pages in length. Please upload all
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Jan-26 Location: Upton, NY, Type: Full-time Categories: Academic/Faculty Internal Number: JR102219 Brookhaven
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Jan-26 Location: Upton, NY, Type: Full-time Categories: Staff/Administrative Internal Number: JR102224 Brookhaven
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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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for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of
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information at BNL | Benefits Program Researchers in the Biology Department at Brookhaven National Laboratory seek to unravel and fully describe the complexities of biological systems--from how plants build