Sort by
Refine Your Search
-
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
-
choices Contribute to technical documentation and present results at internal reviews and conferences Required Knowledge, Skills, and Abilities: PhD in Physics, Accelerator Physics, Nuclear Engineering, or
-
Apply Now Job ID JR101857Date posted 06/16/2025 Scientists in Brookhaven’s Condensed Matter Physics and Materials Science Division (CMPMSD) study basic and applied aspects of quantum materials and
-
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
-
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
-
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
-
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
-
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
-
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
-
. 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