Sort by
Refine Your Search
-
RAP opportunity at National Institute of Standards and Technology NIST Materials Discovery Using Synchrotron Radiation, Machine Learning, and Artifical Intelligence Location Material Measurement
-
; Parallel and distributed computing; Software engineering; Standards; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend Travel Allotment Supplementation
-
NIST only participates in the February and August reviews. The Applied Chemicals and Materials Division (ACMD) of the NIST Material Measurement Laboratory (MML) carries out measurement science
-
NIST only participates in the February and August reviews. This program is designed to support the design, construction, and operation of high-performance sustainable buildings with good indoor
-
, forensics, statistics, and computer programming are applicable. key words Forensics; Forensic Science; Seized Drug; Opioids; Mass Spectrometry; Statistics; Analytical Chemistry Eligibility citizenship Open to
-
RAP opportunity at National Institute of Standards and Technology NIST High-performance Computing and Data Visualization for the NIST Fire Dynamics Simulator Location Engineering Laboratory
-
RAP opportunity at National Institute of Standards and Technology NIST Lightweight Cryptography for Resource Constrained Applications Location Information Technology Laboratory, Computer
-
Metrology for Quasi-Optical Wireless Probing of Monolithic Microwave Integrated Circuits NIST only participates in the February and August reviews. Ultrafast electronic devices with fundamental operating frequencies above 100 GHz are used in a wide variety of applications—examples include radio...
-
, Office of Data and Informatics opportunity location 50.64.10.B8248 Gaithersburg, MD 20899 NIST only participates in the February and August reviews. Advisers name email phone June W Lau june.lau@nist.gov
-
://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently