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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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). The successful candidate will contribute to the modeling, simulation, and co-design of next-generation Quantum-HPC (QHPC) architectures, with particular emphasis on integration of quantum and HPC distributed
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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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credible claims of quantum advantage. Develop and apply physics-informed AI/ML and digital-twin capabilities to improve modeling, parameter inference, uncertainty assessment, and adaptive feedback between
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reports, and proposals for internal and external release and represent the organization by giving technical presentations in large public forums. Mentor emerging research staff, postdocs, and students
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analytical and modeling approaches to interpret experimental results. Collaborate with internal and external research teams to define and advance research directions. Present research findings and publish
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data models aligned with community standards (e.g., W3C PROV), and build the query, storage, and streaming layers (e.g., message brokers, document and time-series stores) required to make workflow
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Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and
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modeling, and complementary characterization. We are particularly interested in candidates with backgrounds in optical spectroscopy, scanning probe microscopy, semiconductor materials, or condensed matter