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Field
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on the relevance of pasture recovering and integrated cropland- livestock-forestry systems (ICLF) for soil C build-up and climate change mitigation, some of the commitments of Brazilian government in the intended
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regions. Change: Advancing hydraulic modelling and NBS for resilience. Impact: Protecting communities with smarter adaptive strategies. Job description Despite significant progress in flood risk management
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multidisciplinary team of researchers investigating the effects of climate change-related environmental exposure on a broad range of human health outcomes. Examples of ongoing and planned research projects include
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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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and radar remote sensing, climate time series, and hydrological models. The work will employ machine learning and explainable AI techniques to improve flood prediction under different hydroclimatic
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the territory and are essential for 80% of the farms. However, these areas—especially those in retro-coastal zones and floodplains—are increasingly impacted by climate extremes, such as summer droughts and spring
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Challenge: Managing flood risk in vulnerable interconnected regions. Change: Advancing hydraulic modelling and NBS for resilience. Impact: Protecting communities with smarter adaptive strategies
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Initiative’s measuring, monitoring, reporting and verification (MMRV) part of the project and is expected to use their expertise to develop tools for monitoring climate smart practices and develop AI models
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Internal Number: 6568986 Postdoc Scholar - Marine ecology ESPM The Coastal Climate Resilience Lab - MCECO - ESPM Ecosystem Sciences Div - Carlson Lab Position overview Salary range: The UC academic salary
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to distributed energy resources, enabling energy sharing, reducing grid congestion, and enhancing sustainability. Your research will investigate the governance models adopted for energy hub platforms