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Field
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Planning, Environmental Sciences, Air Pollution Modeling, Health Impact Assessment, or a related field including Environmental Epidemiology or Data Sciences. No prior experience required. Required Knowledge
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/01) Position Description: Apply Position Description Postdoctoral Associate in Optimization Modeling School of Civil and Environmental Engineering Cornell University The School of Civil and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
the impact of urban policies and infrastructure scenarios. The postdoc will collaborate with a multidisciplinary team of environmental scientists, geographers, modelers, and policy researchers. The position is
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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 location needs
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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(SDPs). You will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy
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We seek to appoint a Research Associate (postdoctoral scientist) to join the prolific climate/weather/environmental and impact science community at the University of Oxford, that is interested in
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Job Summary Are you passionate about applying cutting-edge GIS Mapping and Water Quality modeling techniques to address critical environmental challenges? Join us in an exciting initiative aimed
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: Durham, North Carolina 27701, United States of America [map ] Subject Area: Engineering / Civil and Environmental Engineering Appl Deadline: (posted 2025/07/31, listed until 2025/08/08) Position
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systems modelling including technical knowledge (e.g., in data science, input-output modelling, applied economic modelling, environmental and ecological assessments, GIS, comparative risk assessments), as