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Field
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, treatment, and recycling for water reuse) Climate modeling, Climate Change and Adaptation Forecasting and Warning Systems Water in and for Soil, Droughts and desertification Water information, knowledge and
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information, applying hydrological models to simulate extreme floods, and contribute to recommendations for practice on flood design estimation. Your responsibilities: Develop and apply statistical methods
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that autonomously optimise EO systems tasking and data collection, using decision intelligence to make real-time decisions based on environmental signals and predictive models; contribute to the rapid prototyping and
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position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an
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engineering, robotics, building engineering, environmental engineering and industrial systems. The department conducts internationally recognised research focusing on future energy and industrial systems
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methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods
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Skip to main content Recruit Home Open Recruitments Postdoctoral Researcher in Applied Fisheries or Environmental Economic Modeling, UCSB, Santa Barbara, CA (JPF03092) Postdoctoral Researcher in
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for this role will possess experience in empirical research involving panel data econometrics, causal inference, trade modeling, and environmental policy analysis. Experience with forest carbon markets, forest
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initial contract of two years Background The post-doctoral researcher/university researcher will be working on the EU’s Destination Earth Climate Change Adaptation Digital Twin Project, Phase 3 (https
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analysis, GIS, and large environmental datasets Experience developing predictive or machine learning models for environmental systems Demonstrated record of peer-reviewed publications Experience