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: 282551287 Postdoctoral Associate: Integrating political economy insights into energy modeling D-26-SPI-00009 | Research | Princeton School of Public and International Affairs The Peng group in the School
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models for microelectronics materials Curate, manage, and integrate heterogeneous datasets from experiments and simulations Collaborate closely with experimental teams to benchmark and refine computational
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models for high-temperature structural materials with applications in nuclear reactors and other energy systems. The candidate will collaborate with ANL staff to review, validate, and enhance methods
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at a fraction of the computational cost. Recently Argonne successfully implemented, AERIS, a state-of-the-art seasonal-to-subseasonal (S2S) weather model AI model. A successful candidate will collaborate
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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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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make a difference in the world! Position Information The APEX/APIC/SWAT+ modeling group at Texas A&M AgriLife Research is seeking a highly skilled and motivated Postdoctoral Research Associate to join a
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational
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Requisition Id 16010 Overview: The Watershed Systems Modeling Group (WSMG) within the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated
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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