17 computational-physics-simulation-"Prof"-"Prof" Postdoctoral research jobs at Brookhaven Lab
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studies and computer simulations Collaborate with the BMAD development team at Cornell University by implementing new features into the code Participate in the EIC design effort in a more general sense
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Apply Now Job ID JR101837Date posted 05/16/2025 Brookhaven National Laboratory (BNL) is the building site for the Electron-Ion Collider (EIC), a one-of-a-kind nuclear physics research facility
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Physics, Computer Science, Material Science, or related discipline. • Demonstrated expertise in scattering or imaging methods, or simulations of wavefront propagation. • Demonstrated experience in
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experiment at the EIC. The program includes data analysis involving polarized targets at Jefferson Lab as well as full detector and physics simulations for ePIC. In addition, the candidate will collaborate
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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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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
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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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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
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Knowledge, Skills, and Abilities: PhD in Chemistry, Physics, Biophysics, Biology, Biochemistry or Structural Biology. Proven ability to optimize peptide, protein or nucleic acid crystallization systems. Basic
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a