138 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Syracuse-University" positions at NIST in United States
Sort by
Refine Your Search
-
against experiment and by development of reference problems. Important issues include controlling round-off and truncation error to obtain high accuracy solutions in complex, large scale simulations, and
-
NIST only participates in the February and August reviews. This opportunity focuses on the development and implementation of liquid chromatography mass spectrometry methods for the quantitation
-
materials research and development by orders of magnitude, and it is a core capability and focus area for the Data and AI-Driven Materials Science Group, MMSD, MML. This research opportunity centers
-
are interested in using Machine Learning and AI techniques to enable autonomous, AI-Driven, experimental research. There are many aspects of this nascent field that require further development. This includes
-
quantitation of the effects of environmental context and evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and
-
to predict materials properties is essential to improve materials design methods. This research will focus on the development and integration of first principle calculations; atomistic simulations; and/or
-
has an active effort in the development of electron microscopy methods for high spatial resolution materials characterization and has recently upgraded its aberration-corrected STEM with a high-speed
-
development, microfabricated device design and development, measurement of samples with ultrahigh throughput sequencing and microarrays, and bioinformatic/biostatistical data analysis of the large data sets
-
plasticity, where genetic drift, transgene instability, or chromosomal rearrangements can alter product quality or yield over time. Understanding this genomic evolution is essential for assuring
-
, commercial qNMR standards have only appeared in the last few years. We seek proposals related to the development of high-accuracy methods or standard reference materials for the analysis of gas-phase mixtures