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a particular emphasis on error-corrected methods for future fault-tolerant quantum computing. The algorithms will be designed to address key models of quantum materials, such as the Hubbard model
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Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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advanced manufacturing processes. Demonstrated experience in the design and implementation of numerical algorithms in one or more high-level computing languages, preferably within a team that follows
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Neuromorphic computing or Spiking Neural Networks Machine learning, AI/ML algorithms, or scientific computing Strong programming skills in Python and/or C++. Preferred Qualifications: Ability to work
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Requisition Id 15864 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a software application engineer with expertise in
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within a multi-disciplinary research environment consisting of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing
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Requisition Id 15863 Overview: We are seeking an Electrical or Computer Engineer who will focus on software-defined radio (SDR) system development, integration, and deployment. This position
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and technical notebooks. You will help support user activities within the CNMS User Program, including working directly with users to train them to use instruments safely and effectively and help solve