28 statistics positions at NIST

Differentiation of Analytical and Biological Variability in Metabolomics using Standard Reference Materials and Multivariate Statistics

Multivariate Statistics Location Material Measurement Laboratory, Biomolecular Measurement Division opportunity location 50.64.51.B7843 Gaithersburg, MD NIST only participates in the February and August reviews

Advancing Drug Detection and Identification for Public Health and Harm Reduction

individuals with backgrounds across the chemical, mathematical, epidemiological, and statistical science disciplines. key words Public Health; Opioids; Monitoring; Mass Spectrometry; Optical Spectroscopy; Drugs

Advanced Forensic Toxicology Measurements through Ambient Ionization Mass Spectrometry

ionization sources that allow for single-drop analysis with minimal competitive ionization and maximal analyte intensity is of major interest. Additionally, creation of statistical treatment methods

Computational and Theoretical Approaches for Understanding Complex Fluids

301.975.2461 Description Our goal is to develop and apply new computational (molecular simulation) and theoretical (statistical mechanics and thermodynamics) methods to study complex fluids, with an emphasis

Computational Metrology for Systems Biology and Medicine

volume and quality that is consistent with the use of statistical methods; machine learning techniques for knowledge discovery; protein-protein interaction network analysis; novel algorithms for next

Assessment of Uncertainty in Computational Thermodynamics

widely adopted in metrology and statistics, and are in harmony with NIST uncertainty guidance documents. The developed models, knowledge, data, and software will be used to further the NIST effort in

Advancing Forensic Seized Drug Analysis

, forensics, statistics, and computer programming are applicable. key words Forensics; Forensic Science; Seized Drug; Opioids; Mass Spectrometry; Statistics; Analytical Chemistry Eligibility Citizenship: Open

Mass Spectrometry Data Analysis

This research opportunity will encompass one or more of the following areas: mass spectrometry data analysis, variability and statistical modeling, and/or proteome informatics. The Associate will work with and

Computational Self-Assembly of Soft Matter Systems

Simulation; Computational Chemistry; Colloidal Self-assembly; Material Science; Statistical Mechanics; Inverse Design Citizenship: Open to U.S. citizens

Community Resilience Metrics

organizations. The current approach relies on the use of secondary data alongside various statistical methods such as structural equation modeling, regression analysis, and cluster analysis. Important tools have