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computing runtime with application and compilers to efficiently integrate quantum processors with HPC resources. The research will explore different quantum computing modalities, their architectural
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. degree in Computer Science, Computer Engineering, Mechanical Engineering
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computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end
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of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing. Author peer reviewed papers for internal and external release as
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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such as quantum and analog computational models. You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs
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. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5 years (or expected soon). Demonstrated
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to accelerate multiscale materials and flow sciences. Major Duties/Responsibilities: Collaborate within a multi-disciplinary research environment consisting of computational scientists, computer scientists
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, electrical engineering, computer engineering, computer science, aerospace engineering, or a closely related field obtained in the last five years. Demonstrated experience developing robotic systems using ROS 2