299 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
analysis. Evaluate monitoring coverage, gaps, overlaps, and underused capabilities, and implement tools, integrations, and data sources that improve operational visibility. Automate monitoring deployment
-
& Assignments - Review, assess, and analyze requests for foreign access to DOE facilities and programs Navigate a variety of USIC and openly available data sources in an organized and timely manner to identify
-
, qualification/certification, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon materials, machining, data analytics, metrology, flexible automation and systems research. Successful
-
reliable energy and operational data and apply those data to identify practical improvement opportunities. Major Duties/Responsibilities: Program operations and partner support Serve as the day-to-day
-
information, and field conditions, or raise issues for resolution. Help with purchasing, fabrication, construction, and project completion by providing timely technical guidance and reviewed documents. Lead
-
Requisition Id 16231 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking
-
, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of 5 years professional experience is required for consideration
-
Requisition Id 17047 Overview: We are seeking an AR Accountant who will focus on maintenance and development of systems that facilitate accurate receipt information and financial reporting
-
to design and implement experiments, perform data analyses, and interpret experimental results. Excellent interpersonal, oral, and written communication skills. Preferred Qualifications: Demonstrated
-
photonic quantum sensing and computing. Experience with control electronics, data acquisition systems, machine learning and AI for control and optimization of experimental apparatus. Experience with vacuum