224 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
classified research and development to support data analysis. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research
-
science discovery, the research will pursue development of data pipelines using automated workflows, creation of multi-modal databases and novel ML-approaches that allow integration of different theory
-
sponsor missions. You will be expected to handle sponsor requirements, and develop rapid prototypes to demonstrate new innovations. This position resides in the GeoAI Research Group in the Geographic Data
-
on qualifications, relevant experience, skills, and education. NCCS Provides state-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large
-
regulations for domestic and international shipments of hazardous and radioactive materials in the most efficient and cost-effective manner while maintaining compliance Review and interpret analytical data
-
radiological facilities. Utilize Windows based personal computers, instrumentation operation, data reporting, analytical calculations, and sample management. Ensure compliance with environment, safety, health
-
project schedule, Coordinate technical issue resolution with design team, Design and Project Management, and others as appropriate, Conduct Design Reviews to Ensure documents (drawings, specifications, data
-
determinations. SYSTEM ANALYSIS Analyzes and trends results of preventive and predictive maintenance data. Analyzes equipment performance history. Ensures compliance with environment, safety, health, and quality
-
supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you access to unmatched resources to prototype new ideas, run experiments, and translate methods
-
supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you unmatched resources to prototype new ideas, run large ablations, and translate methods