59 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at University of California
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diverse workforce along with honoring unique experiences, perspectives, and identities. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable
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description The Department of Electrical and Computer Engineering (ECE) at the University of California, Santa Barbara invites applications for a pool of qualified lecturers to teach undergraduate or graduate
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apply even if your experience doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd
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apply even if your experience doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd
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employment. Smoke and Tobacco Free Policy: The University of California, Merced is a smoke and tobacco free workplace. Information and the Smoke and Tobacco Free policy is available at http
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integrated implementation. 20% Leads analyses of state-of-the-art solutions for geophysical data processing, including machine-learning-based approaches. Identifies, evaluates, recommends and leads
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for advancing AI/ML methodology Assist with code optimization and integration into Department of Energy (DOE’s) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD
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accessible gate-based quantum computer. Our technology platform is based on superconducting quantum circuit processors, and we aim to generate the detailed experimental findings needed to resolve foundational
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skills, Windows computer function, computer navigation, and ability to use computerized patient care systems. · Knowledge of all safety requirements when handling biohazardous specimens
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, and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff