16 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "OSU" PhD research jobs at NIST
Sort by
Refine Your Search
-
Superalloys. J. Phase Equilib. Diffus. 43 , 931–952 (2022). https://doi.org/10.1007/s11669-022-01011-1 Keywords Calphad; Diffusion mechanisms; Multicomponent diffusion; Eligibility citizenship Open to
-
STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Leveraging Artificial Neural Networks for Enhancing GC and LC-MS Metabolomics Data
-
Data Mining Methods Location Material Measurement Laboratory, Biosystems and Biomaterials Division opportunity location 50.64.41.B8332 Gaithersburg, MD NIST only participates in the February and August
-
: https://www.nist.gov/programs-projects/nanoscale-imaging-and-spectroscopy-ir-nir-vis-beyond-diffraction-limit ) and/or applying PTR on specific materials or nano systems with efforts balanced based
-
Roxworthy BJ, Aksyuk VA: Nanomechanical motion transduction with a scalable localized gap plasmon architecture. Nature Communications 7: 13746, 2016. https://dx.doi.org/10.1038/ncomms13746 Brian J. Roxworthy
-
calculations using a suitable continuum model. For the results to be physically realistic, the near field and far field formulation must be linked seamlessly. We will develop a Green’s function (GF) method for
-
email phone Andrei Kazakov [email protected] 303.497.4898 Description Empirical correlations derived from existing experimental data have always played an important role in thermophysical
-
the February and August reviews. Advisers name email phone Ala Bazyleva [email protected] 303 497 5981 Description Chemical engineers constantly need reliable property data for process design
-
phone Edward Ryan Sisco [email protected] 301 975 2093 Description This opportunity focuses on the development of analytical methods and/or data processing techniques that could be used to
-
Carlo or molecular dynamics simulation, calculation of virial coefficients from intermolecular potentials, etc.) can be used to supply data where experiments are infeasible or unavailable, to test