6 machine-learning-and-image-processing positions at NIST

Exploring Material Behavior Across Scales: Mechanical Characterization, Microstructural Analysis, FEA/AI/ML Modeling, and Automation Approaches

NIST | Gaithersburg, Maryland | United States | 7 days ago

; microstructure; properties; mechanical; machine learning; processing; data science; Citizenship: Open to U.S. citizens

Enabling Science from Big Microscopy Image Data

NIST | Gaithersburg, Maryland | United States | 7 days ago

parallel algorithms, execution of algorithms in the computer cloud, to delivering on-demand measurements over the Web. key words Image processing; Machine learning, Computer vision; Statistical methods

Development of Hyperspectral Raman Imaging for Biology and Medicine: Optical Platform and Data Mining Methods

NIST | Gaithersburg, Maryland | United States | 7 days ago

; Hyperspectral imaging; Data mining; Machine learning; Microspectroscopy; Citizenship: Open to U.S. citizens

Luminescence-based Imaging Techniques for Photovoltaics

NIST | Gaithersburg, Maryland | United States | 7 days ago

intelligence and machine learning tools. 1. S. M. Chavali, J. Roller, M. Dagenais and B. H. Hamadani, Sol. Eng. Mater. Sol. Cells, 236, 111543 (2022). 2. B. H. Hamadani, Appl. Phys. Lett., 117, 043904 (2020

Generating Ontologies from Domain Corpora using Artificial Intelligence Techniques

NIST | Gaithersburg, Maryland | United States | 7 days ago

301.975.3507 Description Recent developments in Artificial Intelligence (AI) have allowed machine learning models to solve certain complex problems in natural language processing and other areas at large scales

Devices, Circuits and Architectures for Neuromorphic Computing

NIST | Gaithersburg, Maryland | United States | 7 days ago

functionalities, from crossbar-based machine learning to race-logic-based computing.  Opportunities exist for experimental work in device fabrication and measurement using NIST’s state-of-the-art NanoFab and