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Requisition Id 16734 Overview: We are seeking Research Associates to advance, implement, and evaluate scalable quantum algorithms for material simulation. This work directly supports the 5-year
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methods to nuclear nonproliferation challenges. Develop, evaluate, and apply data-driven algorithms, selecting appropriate analytical approaches based on problem characteristics, available data, and mission
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expected to bring expertise in all of them: Experience developing or implementing quantum algorithms for Hamiltonian simulation. Background in quantum materials or quantum many-body physics, particularly
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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Requisition Id 16760 Overview: We are seeking an Applied Data Scientist to perform development of novel and advanced AI/ML algorithms. This work will support a broad user base by applying AI methods
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navigation, trajectory planning, and point cloud mapping; and (3) deploy the developed algorithms on a physical mobile robot operating in GPS-denied, low-light, and geometrically repetitive environments
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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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computational models, systems, and AI/ML tools using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. In
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/C++, or similar languages. Ability to develop, validate, and document research prototypes, algorithms, and technical workflows. Strong written and verbal communication skills for interdisciplinary
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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