13 Computer Science Postdoctoral positions at Brookhaven National Laboratory in United-states
-
Quantum Information Science and Technology (QIST) is a key area of R&D for BNL. The successful candidate will join a fast-growing QIST group centered in our Instrumentation Division and working in close
-
for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and
-
National Laboratory (BNL) is a scientific, extreme scale Data Laboratory in the U.S., New York State, Long Island. We have a lively, fast-growing data science research program at BNL, with a specific focus
-
we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program Supported by
-
, utilizing the world-leading expertise in X-ray imaging at NSLS-II and in collaboration with the researchers at the Center for Functional Nanomaterials (CFN) and the Computational Science Initiative (CSI
-
, and Abilities: * Ph.D. in computer science, physics, material science, or related discipline * Demonstrated expertise in 3D tomography and quantitative image data analysis * Demonstrated experience in
-
, clouds, precipitation, radiation, and atmospheric dynamics; the Atmospheric Systems Research Program; and the Environmental Systems Science Program. This work is pursued with the ultimate goal of improving
-
we believe 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 Cold QCD Group
-
team of scientists from NSLS-II, CFN (Centers for Functional Nanomaterials), CSI (Computational Science Initiative), and IO (Instrumentation Division), plus other postdoctoral researchers who are working
-
of radiation detector or high-energy particle detectors Demonstrated experience in data analysis in scientific research and engineering development. Proficient computer skills: Microsoft Windows, Microsoft