372 embedded-system "https:" "https:" "https:" "https:" "Kiel University" positions at NIST
Sort by
Refine Your Search
-
of aqueous chemical models, incorporated into computer codes, for both pure and applied research that include industrial chemistry, chemical engineering, water treatment, hydrometallurgy, toxicology, medical
-
the objective of commercialization for AST [5]. Research supporting this application and others is now transitioning back to NIST in collaboration with the Molecular Cellular and Developmental Biology Department
-
NIST only participates in the February and August reviews. Understanding the intermolecular environment surrounding complex molecules, ions, electrode surfaces, and nanomaterials is crucial
-
Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
-
RAP opportunity at National Institute of Standards and Technology NIST Characterization of Interfaces and Interphases in Polymeric Material Systems Location Engineering Laboratory, Materials and
-
NIST only participates in the February and August reviews. Community Resilience Metrics The Community Resilience Program (https://www.nist.gov/community-resilience) is developing science-based
-
; signal averaging can be used to optimize signal-to-noise ratios; a wide range of molecular masses is accessible; and the sample can be gas, liquid, or solid. Despite these advantages, the use of NMR
-
an understanding of the basic properties of atom-based solid-state and nanoscale systems, optics on the nanoscale (nano-optics) quantum processes in atom-scale and nanoscale systems with optical fields, and quantum
-
quantum computing. Their dimensions range from a few to several hundred nanometers. There is special interest in color centers in nanodiamonds, which give them unique photonic and spin characteristics
-
interactions, and phonon confinement effects. Therefore, it is important to understand phonon propagation in nanomaterial systems at multiple length and temporal scales for which we need a robust mathematical