398 structural-engineering "https:" "https:" "https:" "https:" "https:" "Brunel University London" positions at NIST
Sort by
Refine Your Search
-
RAP opportunity at National Institute of Standards and Technology NIST Digital Twin of Breath Devices for Forensics and Health Metrology Location Material Measurement Laboratory, Applied
-
RAP opportunity at National Institute of Standards and Technology NIST Generating Ontologies from Domain Corpora using Artificial Intelligence Techniques Location Information Technology
-
structure, crystallographic phase, grain structure, crystallographic texture, crystal defects, lattice strain, contaminants • Imaging of 3D assemblies of 2D materials: moving toward characterization in
-
Causal Green’s Function for Modeling of Phonon Transport in Nanoscale Semiconductors: Application to Devices for Thermal Management and Energy Applications NIST only participates in the February and August reviews. Efficient thermoelectric and thermal management devices consist of complex...
-
RAP opportunity at National Institute of Standards and Technology NIST Mathematical Models for Characterizing Pluripotent Stem Cell Populations Location Material Measurement Laboratory
-
RAP opportunity at National Institute of Standards and Technology NIST Johnson Noise Thermometry with Superconductive Waveform Synthesizers Location Physical Measurement Laboratory, Quantum
-
RAP opportunity at National Institute of Standards and Technology NIST CHIPPING away towards accurate properties of semiconductor process gases. Location Material Measurement Laboratory, Applied
-
RAP opportunity at National Institute of Standards and Technology NIST Chemical Foundation for Capture and Release of Difficult to Detect Drugs or Drug Metabolites of Abuse Location Material
-
RAP opportunity at National Institute of Standards and Technology NIST Advanced Separation Methods to Facilitate a Circular Economy for Textiles Location Material Measurement Laboratory
-
RAP opportunity at National Institute of Standards and Technology NIST Leveraging Artificial Neural Networks for Enhancing GC and LC-MS Metabolomics Data Interpretation and Integration Location