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Apply Now Job ID JR101944Date posted 07/30/2025 The High Energy Theory Group (HET) has active programs in many areas of theoretical particle physics. There are strong efforts in neutrino physics, Beyond the Standard Model phenomenology, precision calculations for the LHC and intensity frontier,...
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engineering teams to evaluate energy deposition, power losses, total ionizing dose, and other radiation-relevant quantities across the Electron Storage Ring (ESR), Hadron Storage Ring (HSR), and Rapid Cycling
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Light Source II (NSLS-II). NSLS-II is a user facility dedicated to helping researchers from the U.S. and abroad bring cutting-edge synchrotron technology and automation to bear on society’s most pressing
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materials for the next generation of microelectronics and quantum information science and technology. Position Description: We are looking for a Postdoctoral Research Associatefor a 1-year term , to grow high
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research findings via paper publications and external presentations. Required Knowledge, Skills, and Abilities: You have a Ph.D. in a relevant discipline (Materials Science, Physics, Electrical Engineering
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have earned a Ph.D. in a relevant discipline (Materials Science, Physics, Chemistry, or a related engineering discipline) within the past five years or will complete your degree before the starting date
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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, physics) awarded within the last 5 years. Strong
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the department on new potential collaborations. Position Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics
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achievements, and engage within and beyond the group on new potential collaborations. Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied
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. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning