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, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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-engineering techniques to support instructional design practices and workflows. Experience with UI/UX design principles to facilitate the optimization and effectiveness of learning for diverse learner
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. Knowledge of digital trends and user demographics to help develop tactics and strategies. Experience leveraging website analytics tools to understand trends and visitor behavior to inform website optimization
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Oversight 20% - Contract Oversight, Compliance Alignment & Program Governance 15% - Data Management, Reporting & System Optimization Department Overview UC Davis Health Contracts is responsible
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Description The Industrial Informatics group at FEE/RICE is focused on the application of advanced optimization techniques to: i) design of new electro-mechanical devices using numerical simulations, ii) system
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methods to identify, collect, process, organize, and analyze structured and unstructured data using statistical prediction, inference, optimization, and machine learning techniques. This position
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structured and unstructured data using statistical prediction, inference, optimization, and machine learning techniques. This position collaborates with the MPOG MD Director and is responsible for leading
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Advancement, Document Imaging, and the PiratePort portal. EA works closely with central offices across campus, including numerous steering committees, to ensure administrative systems meet the needs
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
computational efficiency without compromising numerical accuracy. In particular, since HDG methods rely on high-order polynomial approximations, special attention will be given to optimizing quadrature strategies