78 leadership-development-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 17038 Overview: We are seeking a Postdoctoral Research Associate with a strong background in organic synthesis and coordination chemistry to develop novel chelation platforms for s
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Requisition Id 16985 Overview: We are seeking a Postdoctoral Research Associate to join a large research team working on the development and implementation of novel algorithms for scientific
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Requisition Id 16915 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in composite material development, technology development from lab to large scale
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transformative solutions to compelling problems in energy and security. Within ORNL, the Building Envelope Materials Research (BEMR) Group develops and deploys affordable, advanced, and resilient solutions
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computing. This position is motivated by emerging national priorities in AI for science, including the DOE Genesis Mission: transforming science and energy through AI-enabled research and development
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. This researcher will focus on advancing secure, trustworthy, and efficient AI solutions for scientific applications by developing state-of-the-art sparse algorithms in matrices, tensors, and networks
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, reactor core, spent fuel, and fuel cycle applications through leadership in the development and analysis of SCALE and/or the Virtual Environment for Reactor Applications (VERA) simulations and in
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also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility. The OLCF has the charge to develop and apply transformational computational science
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characteristics and system-level requirements, and their suitability for scientific applications. The candidate will develop modeling and simulation capabilities to quantitatively evaluate quantum, classical, and
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simulation tasks. Develop and maintain HPC-ready software workflows for distributed training, large-scale inference, scalable data ingestion, and data management on leadership-class computing systems and