412 application-forms "https:" "https:" "https:" "Stanford University" positions at NIST
Sort by
Refine Your Search
-
identification process and enable end users to select the appropriate tools for their applications. Combining existing and new technologies is encouraged. The proposal may include a combination of benchwork and
-
independent strategies (metagenomics, bioinformatics, synthetic biology) to determine microbial function from sequence data. Since this project is highly interdisciplinary, we are seeking applicants from
-
of interest include the simulation of fires, flame spread, and smoke transport for fire safety application. Fires, which are outdoors and in enclosures, are considered. Numerical approaches involve both large
-
properties, allowing primary thermometry. Achieving the size, accuracy, and measurement speed sufficient for thermometry in industrial applications requires new approaches to absorption spectroscopy. First, to
-
on the development of nucleic acid-based standard materials and the application of emerging technologies to assist clinical testing efforts. key words Sequencing; Capillary electrophoresis; DNA; Clinical; Genotyping
-
attempts to detect, localize, and quantify nanoparticles in three-dimensional cellular environments. Successful applicants will have access to a multiphoton microscope with spectral capability, a focused ion
-
within an extended range (~ 10 kHz to 10 MHz). We have implemented several new approaches to solving key measurement issues. Both laser interferometry and PFM-based procedures for quantifying the “shape
-
using NMR to study gas separations and vapor-liquid equilibria for commercially important gas-phase mixtures. Proposals are welcome to consider a variety of nuclei (such as 1 H, 19 F, 13 C, and 31 P
-
@nist.gov 917.913.7268 Description This research opportunity focuses on precisely controlled quantum systems of neutral atoms in microscale optical potentials, for applications in quantum simulation
-
evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and facilitate scalability for real-world applications