332 computational-physics "https:" "https:" "https:" "https:" "LaTIM Brest" positions at NIST
Sort by
Refine Your Search
-
NIST only participates in the February and August reviews. First principles calculations, usually based on density functional theory (DFT), are a crucial aspect of modern materials physics research
-
computational methods (such as prior probability or creating a validated material-specific mass spectral library) and experimental methods (such as the use of isotopic labeling methods or orthogonal information
-
Measurement Science to Advance Understanding of Chemical Equilibria in Natural Waters NIST only participates in the February and August reviews. NIST has a long-standing program in electroanalytical
-
RAP opportunity at National Institute of Standards and Technology NIST Integrating Data and Computational Tools for Advanced Materials Design Location Material Measurement Laboratory, Materials
-
energy scale for dynamic impact (Charpy) testing, which is critical to ensuring performance of structural steels. Please visit our websites at https://www.nist.gov/mml/acmd/fatigue-and-fracture-group and
-
, analysis (liquid and/or gas chromatograph-mass spectroscopy Fire Research 1. developing, using, and deploying multiscale fire testing and computational tools to reduce the fire hazard of building content
-
NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
-
controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this opportunity, see these two recent publications: https://doi.org
-
RAP opportunity at National Institute of Standards and Technology NIST Computational Metrology for Systems Biology and Medicine Location Information Technology Laboratory, Software and Systems
-
dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622) and monolayer graphene ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) as a