16 computer-science-intern-"https:" "https:" Postdoctoral positions at Brookhaven National Laboratory
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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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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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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
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information at BNL | Benefits Program This is a joint position between the National Synchrotron Light Source II and the Condensed Matter Physics and Materials Science department, which plans to develop new
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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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information at BNL | Benefits Program The Interdisciplinary Science (IS) Department at Brookhaven National Laboratory (BNL) is seeking a Postdoctoral Research Associate for a one-year appointment with
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, United States of America [map ] Subject Area: Computational Science / Artificial Intelligence/Machine Learning Appl Deadline: (posted 2025/11/19, listed until 2026/01/26) Position Description: Apply Position Description
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designed and built parts and vendor produced components developed by a collaboration of the C-AD scientific, engineering, and technical staff. The C-AD supports an international user community of over 1,500
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information at BNL | Benefits Program The Interdisciplinary Science (IS) Department, in collaboration with others, is performing research in the areas of renewable integration and grid modernization. The goal