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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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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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significant computational and systems immunology approach with collaborators. You will join an outstanding, collaborative, and supportive group within the Meyer Cancer Center, the Englander Institute
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supervision of the Principal Investigators/Director of the Program for Sustainable Pavement Engineering and Research (PROSPER) at InTrans and collaborate closely with federal and state departments
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
and papers supporting the scientific case for polarized deuterons. Contribute to the design, simulation, and performance optimization of the BHCal for the EIC. Participate in the assembly, calibration
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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. The postdoctoral fellow will lead a project focused on developing optimized strategies for observing, processing, and archiving the datasets from current and future large astronomical facilities, with emphasis
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: This postdoctoral position will contribute to the development of scalable and intelligent communication systems for large-scale computing platforms. By optimizing network interconnects and communication strategies
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with strong emphasis on developing, testing, and implementing optimized control or design strategies for water systems. They should have documented experience developing computational tools in water