59 phd-position-cloud-computing-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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systems (Mojo, Julia, Rust, Python), and HPC system co‑design. This position is embedded within the larger DOE ASCR ecosystem, with direct relevance to ongoing efforts, and related AI‑for‑HPC thrusts
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quantum and/or microelectronic materials, enabling Labs-of-the-Future (LoTF) for breakthrough science. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation
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.) to enable real-time process monitoring of the Directed Energy Deposition (DED) printing process. A background in sensors, instrumentation, and data analytics is preferred. Strong communication and program
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designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. HSPD-12 PIV badge: This position requires the ability to obtain and
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post-doctoral research associate to simulate amorphous materials and crystallization reactions using atomic-scale simulations. As a post-doc, you will utilize high performance computing and rare event
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program Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a
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seeking to fill a Postdoctoral Research Associate position to work in the areas of environmental life cycle assessment (LCA), technoeconomic optimization; and industrial energy efficiency and production
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fabrication, and neutron scattering, and other advanced characterization. The position is supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials
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Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within the last 3 years or to be expected in 2025. Demonstrated hands-on experience and