313 associate-professor-computer-"https:"-"https:"-"https:"-"NOVA.id" positions at Oak Ridge National Laboratory
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Requisition Id 16142 Level: RP02 Overview: The Thermal Energy Storage Research Group in the Buildings and Transportation Science Division (BTSD) at Oak Ridge National Laboratory (ORNL) is seeking qualified candidates to fill a researcher position. The work in this group supports the U.S. DOE’s...
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Requisition Id 15797 Overview: We are seeking a postdoctoral research associate who will study the dynamics of high-intensity proton beams in the Spallation Neutron Source (SNS) ring. This project
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Requisition Id 15351 Overview: The Field Intelligence Operations Division invites candidates to apply to join the team as a Group Leader and technical expert for a newly established secure computing
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Requisition Id 15793 Overview: Oak Ridge National Laboratory (ORNL) is seeking talented administrative professionals to join our dynamic Office of Administrative Services (OAS) Program. As a vital
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Requisition Id 16093 Overview: Oak Ridge National Lab is seeking a Postdoctoral Research Associate to advance quantitative, high‑throughput neutron imaging for next‑generation energy‑storage
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challenges facing the nation. We invite applications for a Principal Engineer for Geospatial Computing Infrastructure. This dynamic and visionary leader will launch and build a next-generation Geospatial Data
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Requisition Id 16184 Overview: We are seeking a Postdoctoral Research Associate who will focus on advanced electron microscopy research for quantum or energy materials. This position resides in
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Requisition Id 16104 Overview: The Quantum Heterostructures Group is seeking outstanding candidates for a postdoctoral position in quantum information science. You will conduct experimental
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Signals Collections and Analysis Group in the Nuclear Nonproliferation Division
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and