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with a PhD in Biology, Ecology, Geosciences, Earth System Science, Environmental Sciences, or related fields and proven experience in computational modeling of vegetation to conduct research
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limited to) Biology (Ecology), Agriculture and Forestry, Environmental Science or Conservation Science; • Proficiency in R; • Proven skills (e.g. publications) in statistical modelling (e.g. use of R
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Requisition Id 16167 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a Postdoctoral Research Associate with expertise in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
the University of North Carolina at Chapel Hill. These appointments will be in the Institute's Center for Environmental Modeling and Policy Development (IE-CEMPD). The selected candidates will work with Dr. Sarav
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and adaptation modelling system. You will develop approaches in four case study areas (Rhine, Mekong, Pungwe, Upper Mississippi) and subsequently upscale to the global scale. You have the interest and
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to environmental light disruptions during pubertal development. The position exists to generate high-quality experimental data using behavioral, in vivo imaging, and molecular techniques in pre-clinical models
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change, climate change attitudes, and risk under environmental heat stress by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a
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to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies
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Department: Environmental Epidemiology ERA Chair – Faculty of Science Deadline: 27 Feb 2026 Start date: Dohodou Job type: full-time Job field: Science and research Bursar of the Faculty of Science
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workloads. Conduct research on language front‑end abstractions, mixed‑precision modeling, heterogeneous parallelism, and MLIR-level transformations. HPC System Co‑Design: Work with domain scientists and