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planning and operations, and the interaction with other infrastructures. Some of these tools will require the development of underlying optimization methodologies and analytics frameworks. The successful
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Requisition Id 15553 Overview: We are seeking a Postdoctoral researcher in data quality assessment and control and sensor network optimization who will focus on R&D of sensor network design. This
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Postdoctoral Associate in Optimization Modeling The School of Civil and Environmental Engineering at Cornell University seeks a postdoctoral associate. The positions can be remote (but the home
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optimization technologies are revolutionizing the way power grid is operated and planned. CEEESA is seeking talented and motivated researchers to enhance its capability in solving energy challenges using
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/Administrative Internal Number: 6791073 Postdoctoral Research Associate About the Opportunity The Postdoctoral Research Associate advances research in mathematical modeling, optimization, and stochastic analysis
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research in core/edge modeling, scenario optimization and experimental interpretation in the SPARC tokamak; lead the efforts of creating a platform to analyze experimental data in SPARC early campaign
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mechanism of action. Develop and optimize workflows for sample preparation, grid screening, and high-throughput image acquisition. Collaborate with computational and molecular biology teams to link structural
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concrete. Research Focus The postdoctoral researcher will lead experimental investigations into concrete materials, with emphasis on mixture design optimization and mechanical property characterization
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
North Africa that will optimize for maximum crop yields with minimal water and energy consumption and minimal capital costs. The candidate will regularly present research results at meetings and workshops
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-atmosphere dynamics. We will build an AI-enabled modeling system that couples a GPU-optimized ocean model with a biogeochemical module and AI-based, kilometer-scale atmospheric forecasts. This system will