Sort by
Refine Your Search
-
RAP opportunity at National Institute of Standards and Technology NIST Exploring the effect of hydrogen environment on the mechanical properties of structural metals Location Material
-
multiple laser lines. Also exciting is a combination of Raman microscopy and microfluidic technology to monitor the vibrational spectra of biomolecules while rapidly changing the buffer environment to induce
-
Bias-induced Strain Mapping of Electronic and Energy Materials in an Atomic Force Microscope NIST only participates in the February and August reviews. Strain is induced when an electric field is applied to a ferroelectric, piezoelectric, dielectric, or ion conducting material (inverse...
-
circuit design and the signal-chain engineering. We will focus on an in-depth analysis of the correlations between the design of the charge circuit and the resulting level of noise and charge sensing
-
RAP opportunity at National Institute of Standards and Technology NIST Discrete Photon Detection Location Physical Measurement Laboratory, Sensor Science Division opportunity location 50.68.51
-
RAP opportunity at National Institute of Standards and Technology NIST Chemical Metrology of Dietary Supplements Location Material Measurement Laboratory, Chemical Sciences Division opportunity
-
RAP opportunity at National Institute of Standards and Technology NIST Biopharmaceutical and Membrane Protein Stabilization Location Material Measurement Laboratory, Biomolecular Measurement
-
RAP opportunity at National Institute of Standards and Technology NIST Advanced Vibrational Spectroscopy of Higher Order Structures of Protein Location Material Measurement Laboratory
-
Analytical Metrology for Quantifying Drug Release Profiles from Nanotechnology-Enabled Medical Products NIST only participates in the February and August reviews. The use and application of vectors such as liposomes, nanocrystals and/or emulsions for the delivery of nucleic acid, protein and/or...
-
RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Driven Autonomous Metrology System Location Physical Measurement Laboratory, Sensor Science Division