239 computing "https:" "https:" "https:" "CWI" uni jobs at Oak Ridge National Laboratory
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Requisition Id 15751 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Machine Learning Engineer position
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, safety, health, and quality program requirements. Daily manage the ORNL Postdoc and ORNL Recruiting email inbox and promptly upload documents from the inbox to SuccessFactors ATS. Perform other duties as
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(ORNL). Work will involve significant collaboration with external researchers through the CNMS user program, requiring the ability to adapt experimental approaches to diverse research needs while
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to ensure security practices and procedures are understood, implemented, and enforced. Job Duties and Responsibilities: • Maintaining computer networks including VPNs, routers, and other physical hardware
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require passing a pre-placement drug test and participation in an ongoing random drug testing program. Preferred Qualifications: Associate/bachelor’s degree in business management, liberal arts, or other
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of the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities Serve as the primary technical authority and program owner for the OT/ICS cybersecurity strategy, roadmap
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Computing Services Division, in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Define and analyze system requirements; work with
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systems, high-speed parallel file systems, and archival solutions critical to advancing scientific discovery and innovation. As part of ORNL’s leadership-class computing ecosystem, you will play a vital
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Specialist will work as part of a team on the Oak Ridge National Laboratory’s SCIF Technical Security Program regarding technical surveillance countermeasures and TEMPEST activities. This position combines
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, curation, and modernization of research data and legacy records to ensure they are well-documented, trustworthy, and prepared for advanced analytics, modeling, and future computational use. The candidate