17 programming-"Multiple"-"U"-"Embry-Riddle-Aeronautical-University" "U.S" Postdoctoral positions at Brookhaven Lab
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2019, the U.S. Department of Energy (DOE) approved the EIC project by issuing Critical Decision 0 (CD-0), or “mission need,” and selected Brookhaven National Laboratory (BNL) as the host site
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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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the missions of the U.S. Department of Energy’s (DOE) Office of Sciences and the DOE Office of Biological and Environmental Research. Together with the Collider-Accelerator Department, we also manage the NASA
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expertise and projects spanning the full breadth of BNL’s and the DOE’s missions. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a
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Apply Now Job ID JR101897Date posted 07/07/2025 The Condensed Matter Physics and Materials Science Division (CMPMSD)at Brookhaven National Laboratory conducts a wide-ranging research program
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of the unique time-resolved mid-infrared (TRIR) detection capabilities at ACER in this work. This position is funded for the 2-year term. Essential Duties and Responsibilities: Plan and carry out research in
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, military service, illness or other life-changing events. Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed
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a related field Experience with radiation transport codes (e.g., FLUKA, Geant4, MCNP etc.) Excellent programming and data analysis skills (e.g., Python, C++, or similar) Solid understanding
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. Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will
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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide