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Warehouse, OMOP-standardized clinical data, and institutional REDCap servers, as well as federated query capabilities through the CTSA-supported ACT and N3C networks. Local clusters are optimized for AI and
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simulated wave conditions. Perform numerical study of the model test. Analyze and interpret data to make informed recommendations for costal protection system design and optimization Writing and publication
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control of turbulent thermal boundary layers. 1-Context Turbulent flows dictate the performance characteristics of numerous industrial equipment and environmental applications. One important consequence
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University of California Agriculture and Natural Resources | Modesto, California | United States | 12 days ago
fruit harvest mechanization to address labor shortages, canopy size and structure to facilitate harvest efficiency, and fertilization strategies to optimize fruit size, yield, and quality. There is strong
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of spaceflight experiments and the optimization of spaceflight missions and trajectories. (https://www.irs.uni-stuttgart.de/en/ ) Task description for your Individual Research Project (IRP) Problem Definition
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) machine learning. The project will focus on one or a combination of the following focus areas, tailored to the candidate’s expertise and interests: Developing numerical models for the coupled mechanical
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objectives. Duties of the position The successful candidate will be expected to complete their doctoral education and perform fundamental research, primarily within: Develop and optimize eco-friendly shell
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response to financial audits. Optimize all college or unit resources, which may be complex and come from numerous sources, by understanding the relationships between all funding sources. Analyze financial
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numerical methods with optimal convergence rates should align with the expected solution regularity. Such an approach will allow us to distinguish between numerical methods that are purely heuristic from
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full