413 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at NIST
Sort by
Refine Your Search
-
via laboratory testbeds, numerous machining centers, and a nanoscale science center. Furthermore, NIST provides computational resources and has an interest group for AI that regularly meets, giving
-
RAP opportunity at National Institute of Standards and Technology NIST Ab Initio Mass Spectrometry Location Material Measurement Laboratory, Chemical Sciences Division opportunity location
-
RAP opportunity at National Institute of Standards and Technology NIST Chemical and Physical Metrology for Micro- and Nanoplastics Location Material Measurement Laboratory, Materials Measurement
-
fluxes of material (e.g., carbon) and energy through the community; and model microbial community dynamics and response to environmental perturbations. Engineering Communities: Candidates will be
-
emission tomography (SPECT). The research associate will join a multidisciplinary team of experts to develop new approaches to mass and radionuclide metrology with inkjet technology and will have
-
are essential for broad adoption of these methods, this postdoc would collaborate with a unique array of technology and informatics developers in the Genome in a Bottle Consortium to develop authoritative de novo
-
Description Exploiting atom-based solid-state technology and nanotechnology for quantum technologies such as quantum computing, quantum simulators, quantum nano-optics, and nanoscale sensing requires
-
RAP opportunity at National Institute of Standards and Technology NIST Applied Mathematics of Soft, Fluid, and Active Matter Location Information Technology Laboratory, Applied and Computational
-
RAP opportunity at National Institute of Standards and Technology NIST Micro- and Nanoplastics Chemical Characterization and Quantification Measurement Science Location Material Measurement
-
for achieving recovery-based objectives, (3) computing the collapse risk of new and existing buildings and infrastructure systems, (3) developing improved nonlinear modeling capabilities to evaluate the response