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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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technical judgment, scientific leadership, and the ability to collaborate across multidisciplinary teams to deliver high-performance, maintainable instrumentation. Key Responsibilities: Control System
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computational research using and developing codes for high-performance platforms Work in collaboration with experimental group to interpret and contribute to designing experiments Think and work independently and
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property characterization techniques, including electrical transport, specific heat, and magnetic measurements; and familiarity with conducting or collaborating on experiments at major national user
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will be performed on various transition metals, but it is expected that the Postdoc would also drive scientific efforts and expand the capability to other materials, such as high entropy alloys, advanced
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interactions, or aerosol–cloud interactions Strong experience in numerical modeling and high-performance computing • Experience applying AI/ML methods to model development, with strong programming skills (e.g
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, or network-based modeling of infrastructure or industrial systems. Familiarity with high-performance computing, cloud computing, or parallel computing environments for training models and solving optimization
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in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
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The Chemical Sciences and Engineering Division seeks a Postdoctoral Appointee to conduct research focused on the development of high-energy, long-cycle-life lithium–sulfur batteries employing both
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needs. As a part of this team, you will : Develop, build and test equipment and perform molten salt separations which support the development of a secure fuel supply for MSRs and nuclear fuel cycle