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to translate operational requirements into clearly defined deliverables, measurable outcomes, and prioritized technology initiatives. The Senior IT Project Leader drives structured intake, process optimization
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missions of the Primary Care and Population Health departments. This position will design and create data structures, reports, dashboards, and related data extracts from CUIMC?s Epic electronic health record
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-composants (structure cœur et peau ou côte-à-côte par exemple), - le positionnement et la connectique, grâce à l’impression jet d’encre et à la broderie, des capteurs. Nous proposons de développer des textiles
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
prevention, and endoscopic education. This role integrates advanced data analytics, data systems management, and implementation science to ensure that high-quality data are collected, structured, analyzed
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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of the research within the PRMH under the guidance of the Director. Directs and manages policy-relevant research program operations Utilizes and designs systems that allow for the optimal use of resources (people
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to improve patient-provider communication to optimize management of early-stage breast, lung and rectal cancer in older adults. CPCRN is a national network of researchers and healthcare and community partners
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. Support academic leadership in synthesizing data for accreditation, assessment, and rankings. Program Excellence, Policy Optimization & Operational Governance Strengthen consistency and operational rigor
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Offer Description Development of atomistic ab-initio simulations and machine learning models for the study of phonon transport, phase transitions, and structural optimization of phase change materials