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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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Assistant Professor in Marine Biology & Ecology - Biomedical Science or Quantitative Systems Ecology
ecologist working in coastal systems, who applies modern approaches in causal inference, experimental ecology, spatial modelling, and data science, including the use of machine learning to produce rigorous
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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | about 8 hours ago
modeling, and involves a broad interdisciplinary team (senior scientists, PhD students, postdoctoral researchers, engineers) in a high-level scientific environment. In this context, you will be responsible
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. This is true, for example, for observations of high societal value related to coastal land resiliency, ecosystem response and adaptation, and disaster management that can support accurate forecast modeling
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the possibility of a one-year extension. Starting Date As soon as possible. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409563/iwri-postdoctoral-f… Requirements Additional
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Duke University, NSOE-ESS & MSC Position ID: Duke-NSOE-ESS & MSC-POSTDOC_GILL [#31550, 50469328] Position Title: Position Type: Postdoctoral Position Location: Beaufort, North Carolina 28576
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learning, statistical, spatial and temporal modelling approaches to understand mental health need, crisis trajectories, service entry patterns, and system performance across rural, coastal, and small urban
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at the forefront of extreme event and other laboratory, field, and modeling efforts in the coastal region. EEI research is funded by funded by the U.S. National Science Foundation (NSF), National
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. We are looking for a highly motivated postdoctoral researcher to explore novel, in-house and external, satellite retrievals and compare them with high-resolution model data, to improve our