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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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advanced materials into on-chip photonic platforms to harness quantum effects through monolithic fabrication and design. This position resides in the Nanofabrication Research Laboratory, Nanomaterials
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, Environmental Sciences Division, Biological & Environmental Systems Science at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Design experiments and perform laboratory investigations with
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, with the goal of demonstrating a path towards fault-tolereant quantum advantage in simulating complex material systems. The position will involve a combination of algorithmic design, numerical
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. Collaborate with researchers outside of our group from diverse backgrounds, within and external to ORNL, including condensed matter theorists and scientists performing device design and fabrication, microscopy
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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developing the technical basis for the first fusion nuclear facility and the position will involve several disciplines, with an intended focus on design, analysis, and optimization of fluid flows in tritium
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, high-performance computing (HPC), and computational sciences. Major Duties/Responsibilities: Participate in: (1) design and implementation of scalable DL algorithms for atomistic materials modeling
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are especially interested in candidates with strong technical expertise in AI architecture design (e.g., Vision Transformers, foundation models, and federated learning), scalable computing on leadership-class
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and carbonation reactions in aqueous solutions, amorphous materials and at mineral-water interfaces. Collaborate with ORNL researchers on the design and execution of experiments to measure