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Defence Academy invites applications for a fully-funded postdoctoral position in the interdisciplinary area of AI-driven scenario forecasting. This position is in collaboration with the Data Science Center
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of Engineering, at the University of Texas at Arlington, invites applications for a Post Doctoral Research Associate who will be working in the areas of improving forecasts of weather, climate and snowpack, and
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involved in perceptual judgments and economic decisions. Projects may involve the accuracy of judgments about probability, value, or risk; learning to forecast or categorize; the role of imprecise perception
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, rationality), and operational (forecasting capacity, decision support, agility Planned activities • Literature review on four-step models and multi-agent systems in land passenger transport • Application
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of Engineering, at the University of Texas at Arlington, invites applications for a Postdoctoral Research Associate who will be working in the areas of improving forecasts of weather, climate and snowpack, and
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Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent
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to the ERC-PoC project NOSHAKE (a New paradigm fOr forecaSting injection-induced eartHquAKEs), funded by the European Research Council (ERC, https://erc.europa.eu/ ). The candidate will perform her/his
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demonstrated background in scalable flood inundation modeling, Impact-based flood forecasting stormwater infrastructure design under uncertainty. We welcome applicants with recent PhDs and individuals seeking
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for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal Meteorological and Oceanographic Forecast Simulator under Development of Integrated Simulation Platform
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modeling approaches-including machine learning (ML), hydrologic and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho