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Requisition Id 15639 Overview: We are seeking a Junior Staff Research Scientist to develop, implement, and analyze state-of-the-art, trustworthy deep learning methods that advance scientific
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instrumentation Strong programming experience for developing custom algorithms (knowledge of programming in LabVIEW and Python environments), along with experience in AI/ML tools and workflows, including training
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methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In addition to software development/application, you will also engage with the broader community
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methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In addition to software development/application, you will also engage with the broader community
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algorithms, capable of distributed learning on high performance and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence
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system integration, as well as embedded controller development. Experience in modeling converter topologies and distribution grids, developing control algorithms, and implementing controller code is
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to earthquakes, landslides, and volcanic activity. In addition to model development, research activities include the design of evaluation protocols that capture domain knowledge and sponsor application
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infrastructures using GPU accelerators. Experience building data-fusion workflows to ingest multi-modality geospatial data. Experience using Python or other programming languages to develop AI algorithms in PyTorch
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SNS. You will also work with other technical groups including data acquisition software, information systems, detector development, data reduction and data analysis software developers. You will have
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the Department of Energy and the State of Tennessee. More About the Workflow Systems Group: The Workflow Systems Group researches and develops systems and algorithms to enable knowledge discovery from scientific