Sort by
Refine Your Search
-
-adoption, etc). A successful applicant would have the opportunity to lead research workstreams, write papers, and engage with AI and measurement science experts from across CAISI and NIST. The artificial
-
of the constraints on sequencing (read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic
-
of ethylene from ethane using a rigid metal-organic framework", Nature Materials, 17, 1128–1133 (2018). L. Li, et al. "Ethane/ethylene separation in a metal-organic framework with iron-peroxo sites", Science
-
RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Driven Autonomous Metrology System Location Physical Measurement Laboratory, Sensor Science Division
-
RAP opportunity at National Institute of Standards and Technology NIST Clinical Genetics Location Material Measurement Laboratory, Biomolecular Measurement Division opportunity location 50.64.51
-
classification of scientific publications by their relevancy have been done at TRC. A successful applicant is expected to have a strong background in computer sciences, particularly in AI, NLP, and ML. No specific
-
RAP opportunity at National Institute of Standards and Technology NIST Efficient integration of sustainable fuels through the measurement and modeling of thermophysical properties Location
-
NIST only participates in the February and August reviews. As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital) Artificial Intelligence (AI)-based predictions. These instruments raise concerns about safety...
-
RAP opportunity at National Institute of Standards and Technology NIST Data-Driven Technologies for Fluid Property Simulation Location Material Measurement Laboratory, Applied Chemicals and
-
RAP opportunity at National Institute of Standards and Technology NIST Computational Electromagnetics Location Information Technology Laboratory, Applied and Computational Mathematics Division