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an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux environment Experience with surrogate modeling Experience with data
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that span low-power edge computing utilizing spiking neural network algorithms to large models utilizing agentic AI to solve complicated problems in nuclear safeguards, warhead monitoring and fundamental
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hybrid classical-quantum computing systems, including familiarity with quantum hardware platforms, quantum-classical interfaces, or co-design of hybrid algorithms and system software stacks. Deep technical
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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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success. Basic Qualifications: Ph.D. in electrical engineering, power systems, computer engineering, control engineering, or a closely related field. Strong background in power system modeling, dynamic
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a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and
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Experiences building satellite imagery preprocessing workflows Experience using Python or other programming languages to develop AI algorithms in PyTorch computing framework Preferred Qualifications: Experience
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participation in workshops, as well as other program development activities Develop new engineering algorithms and/or write components of new software tools Co-author and contribute to various proposals/grants