17 Statistics research jobs at Oak Ridge National Laboratory in united-state in United States
-
data science, statistics, nuclear engineering, and scientific computing to deliver high-impact research and solutions that address some of our nation's most challenging security threats. Major Duties
-
for distributed energy resources (REopt, DER-CAM, DER-VET, Homer, System Advisor Model (SAM), TRNSYS, etc.) is highly advantageous. Familiarity with numerical calculation and statistical data analysis techniques is
-
researching or using hydrological and nutrient transport processes, statistical methods in hydrology/environmental sciences, basin scale modelling experience using process-based hydrologic models Experience
-
savings performance contracts, heating and cooling technologies, and mechanical systems and controls is desired. Familiarity with numerical calculation and statistical data analysis techniques is desired
-
). Knowledge of and experience with numerical analysis and applied mathematics, including optimization, statistics, and solution of inverse problems. Diverse experience in many application areas such as nuclear
-
cultures of fungi and plant tissue cultures. Demonstrated record of experience with bioinformatics and statistical analysis software tools and a track record of primary contributions to peer-reviewed
-
implement statistical, AI and ML algorithmic solutions to real world problems in healthcare and biomedical research. You will have the opportunity to conduct computational research and collaborate with
-
the implementation of nonlinear constitutive models in commercial finite element (FE) codes is required. Strong background with probability and statistics is required. You will be expected to collaborate with
-
processes and interpreting fallout data. Focus on developing and validating mathematical methods, incorporating inverse calculations and statistical models, and integrating these methods into existing
-
research associate who will focus on machine learning, signal processing, and statistical analysis with emphasis on prognostics and applications. This position resides in the Accelerator Science and