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the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002
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research focuses on a geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics
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with all elements of a multi-level research network, including attending Disease Team Committees (DTCs) meetings, interacting with sponsoring agencies including National Cancer Institute, and compliance
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geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics. Qualifications: - Applicants
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(GEI), a partnership between the National Center for Ecological Analysis and Synthesis (NCEAS) and The NOAA RESTORE Science Program seeks to fill two postdoctoral positions focused on addressing