Sort by
Refine Your Search
-
management, statistical design and analysis, and reporting, to improve care quality, reduce costs, and enhance patient experience. This position resides in the Health Services Division, Environmental, Safety
-
Requisition Id 16125 Overview: We are seeking a Healthcare Data Analyst who will serve as a subject matter expert (SME) in healthcare data management, statistical design and analysis, and reporting
-
geospatial, statistical, and quantitative approaches to fisheries, hydrological, and ecological data to improve understanding of how hydropower operations influence fish populations, movement, survival, and
-
coupled with artificial intelligence, applied mathematics and statistical sciences with an emphasis on applications relevant to the DOE mission space. This position is within the Mathematics in Computation
-
development of novel AI algorithms, it does require strong implementation skills, sound statistical judgment, and an ability to translate methods into reliable, maintainable, and well-documented pipelines
-
and technology solutions for national security sponsors. Major Duties and Responsibilities: Lead and execute complex R&D efforts applying data science, machine learning, and statistical methods
-
Qualifications: PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. Experience with multi-modal learning across modalities
-
of the infrastructure. Proactively monitor, test, collect and analyze system performance statistical data to improve quality of the network environment. Diagnose and resolve complex configuration and troubleshooting
-
of the trained models to determine underlying processes that govern the given data. This job offers an excellent opportunity to conduct exceptional and innovative research in mathematics, statistics and scientific
-
environmental datasets for use in geospatial web applications. Collaborate with research scientists and stakeholders to integrate existing statistical models into application code and develop new features as