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of shelf-stable, nutritious whole-grain meals using advanced processing technologies (e.g., MATS, retort systems) AI-enabled modeling and optimization of perishable food supply chains, including cold chain
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, and physics based computational modeling of joining processes or performance of welded structures. As a postdoc, you will conduct research and development at the forefront and often at the intersection
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AgriLife and make a difference in the world! Position Information: The successful candidate will contribute to developing and evaluating terrestrial and aquatic nitrogen dynamics and emission modeling, with
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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successful candidate for this full-time position will work under the supervision of Dr. Demián Gómez to develop GNSS trajectory models that account for temporally correlated noise and produce co- and post
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learning models represent information internally and how their predictions can be made transparent, reliable, and clinically meaningful. This work will involve developing and applying interpretability
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
will work Christopher Knittel (Sloan School of Management and CEEPR). The project will develop empirical models of supply, demand, and international trade conditions for minerals required for the energy
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soils, with applications in permafrost engineering, cold-regions geotechnics, and climate-driven ground processes. The postdoctoral scholar will lead applied modeling and data-constrained analyses using
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Project: Enhancing APEX for simulating environmental and economic impacts of CAFO operations using the APEX model, funded by USDA-NRCS. Texas A&M AgriLife Research is seeking a highly motivated and