5 deep-learning-machine-learning positions at NIST

Microbial Metabolomics

NIST | Gaithersburg, Maryland | United States | 2 months ago

: Microbiome; Bacteria; Microbiology; Metabolites; Nuclear Magnetic Resonance, Mass-spectrometry, Chemometrics; Multivariate statistics; Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL

Leveraging Large Language Models, Recommendation Systems, and Interpretable Deep Learning for Firefighter Safety and Decision Support

NIST | Gaithersburg, Maryland | United States | 2 months ago

Leveraging Large Language Models, Recommendation Systems, and Interpretable Deep Learning for Firefighter Safety and Decision Support NIST only participates in the February and August reviews

Materials Discovery Using Synchrotron Radiation, Machine Learning, and Artifical Intelligence

NIST | Upton, New York | United States | 2 months ago

systems. Ths position requires a deep understanding of X-ray Absoprtion Spectroscopy and prior experience with methods of machine learning and artificial intelligence. A highly competitive candidate would

Artificial Intelligence for Genomics Reference Materials

NIST | Gaithersburg, Maryland | United States | about 3 hours ago

Consortium led to the development of the first NIST RMs in this class, with widely-used benchmark germline variant calls for seven human cell lines [1].  Artificial intelligence and machine learning hold

Machine Learning for Materials Discovery and Optimization Applications

NIST | Gaithersburg, Maryland | United States | 2 months ago

, constraint programming, Bayesian methods, sparse kernel machines, graphical models, and deep learning. Some examples of materials classes of interest for this project are photovoltaic, thermoelectric