89 parallel-computing-"Foundation-for-Research-and-Technology" Postdoctoral positions at Oak Ridge National Laboratory
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parallel codes. Experience with using high performance computing for lattice model simulations. Experience working in a multi-disciplinary research environment. Demonstrated written and oral
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Requisition Id 17145 Overview: We are seeking a Postdoctoral Research Associate who will focus on experimental research in photonic quantum sensing and computing. This position resides in the
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/Responsibilities: Research, develop, and optimize novel low-level software, drivers, and firmware for executing SNNs on resource-constrained embedded platforms. Research, develop, and evaluate hardware-software co
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systems in the world. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Integration of memory encryption, confidential computing, and trusted
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solutions for building envelopes of new construction and retrofits to enable DOE’s energy efficiency goals. Our synergistic research areas include building science, material and system development, and
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thermophysical behavior of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems
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Requisition Id 17135 Overview: We are seeking a Postdoctoral Research Associate – Modeling, Controls, and AI for Thermal Systems to advance the design, operation, and maintenance of thermal
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
Science and Technology Directorate, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: The successful candidate will be responsible for conducting, coordinating, and reporting
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specializing in artificial intelligence for science, knowledge-guided machine learning, and scalable scientific AI workflows. The successful candidate will conduct research at the intersection of machine
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design