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/Responsibilities: Designing and developing foundational statistical/AI/data-driven techniques for uncertainty quantification and visualization of complex, large-scale 2D/3D scientific data. Publishing research in
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processing software Knowledge of in situ neutron and x-ray scattering/tomography techniques for materials examination Experience with complex mechanical testing of materials Flexibility to adapt evolving
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, as necessary. Support research and development on alternative target designs, including alternative material matrices for pressed cermet pellets, complex geometries of pellets, novel encapsulation
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to achieve equitable, reliable and adaptable built environments through data ecosystems creation, data science and integrated complex systems analysis. The group’s vision is to enable a sustainable, safe, and
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utilization across the computing continuum. Additionally, you will investigate innovative approaches to optimize the balance between performance and resilience, considering the complexities of heterogeneous
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. Preferred Qualifications: Research relevant to spent fuel processing or waste form development. Demonstrated knowledge of a variety of spectroscopic approaches, including kinetic analyses, of complex systems
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reporting complex research assignments related to buildings, specifically: 1) system modeling and optimization with applications to building-to-grid integration, and 2) hardware and software development