19 computer-science-programming-languages-"CNPEM" Postdoctoral research jobs at Brookhaven Lab
Sort by
Refine Your Search
-
support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
-
by publication record). Excellent programming and computer science skills. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel ML and NLP algorithms and models and
-
-based machine learning and natural language processing. Strong research experience (e.g., evidenced by publication record). Excellent programming and computer science skills. Security clearance
-
The Advanced Electron Microscopy and Nanostructured Materials Group within the Division of Condensed Matter Physics and Materials Science at Brookhaven National Laboratory invites applications
-
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
-
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
-
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
-
to take a leading role in studying the origin of Lambda hyperon transverse polarization in electron scattering experiments—such as the CLAS12 experiment at Jefferson Lab’s 12 GeV program and the ePIC
-
processes emerging from the unique data in research areas such as quantum information science. • You will collaborate with scientific staff with diverse backgrounds, including data analytics, electron
-
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