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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration
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particles (polystyrene, polyethylene terephthalate, polypropylene) and environmental MNPs collected from indoor air. An integrated experimental strategy will be implemented, combining human in vitro models
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17 Mar 2026 Job Information Organisation/Company University of Wroclaw Department Faculty of Earth Sciences and Environmental Management Research Field Environmental science Researcher Profile First
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 10 days ago
Modelling. Your tasks # Development and implementation of numerical and algorithmic methods for the simulation of fluid-dynamical or environmental systems # Research on quantum and hybrid quantum–classical
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of physiological adaptation to environmental stressors that inform strategies that enhance resilience and health in animals and/or model systems. Outstanding research scholarship is expected, as is excellence and
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in their fields and include National Academy members, Fulbright Scholars and MacArthur Genius Fellows. A Carnegie R1 institution, FIU drives impactful research in environmental resilience, health and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
strengthen environmental research capacity across UNC by supporting a multi-disciplinary community of scholars that enhances collaboration, increases sharing of knowledge, and identifies solutions
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to the Dillon Lab’s multidisciplinary research program evaluating the sustainability of animal-source foods. The position combines spatial analysis, livestock systems modeling, and environmental assessment
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system models. In technologically detailed energy system models, these requirements are increasingly leading to challenges due to the rapid techno-economic development of the modeled technologies