298 associate-professor-computer-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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, or office support experience (or equivalent combination of education and experience). Proficient in office computer systems and software applications such as Microsoft Office/Outlook. Must work well in a team
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communication skills including verbal, presentation, and writing skills are required to enable effective interaction with technical peers and program managers. Preferred Qualifications: Prior experience working
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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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and reliability.” In this role, you will work closely with Scientific Associates and Engineers to build, maintain, and stage the critical equipment used at the Spallation Neutron Source (SNS) and the
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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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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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confidentiality on control system computers. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
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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