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governance for climate and societal challenges. Job description This PhD position focuses on using agent-based modeling (ABM) to explore the lifecycle of community intiatives, as part of the ECCO project
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, consisting of 24 partners from a wide-range of disciplines in future climate model development, paleo-climate data collection, and applied mathematics.
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Would you like to contribute to climate-resilient livelihood options for peri-urban populations in Bangladesh? Are you a motivated researcher in environmental engineering with a focus on WASH? And
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to clean energy technologies. Coupled to an existing family of climate-energy-economic models, called Integrated Assessment Models (IAMs), the module will quantify how resource scarcity, investment risk, and
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from a wide-range of disciplines in future climate model development, paleo-climate data collection, and applied mathematics. Your qualities The project requires the development of both numerical skills
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to clean energy technologies. Coupled to an existing family of climate-energy-economic models, called Integrated Assessment Models (IAMs), the module will quantify how resource scarcity, investment risk, and
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numbers and economic growth are the cause of increased water withdrawal from rivers, lakes and groundwater. Combined with climate change, this can cause water scarcity, groundwater depletion and ecosystem
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urban resilience. This is your chance to make a real impact! Information The energy and the climate crisis reinforced the urgency of energy efficiency in residential buildings in Europe. To meet its
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-based wax composites that can be used in heat storage systems. Information Solving some of our major societal challenges related to climate, energy and sustainability will require a significant reduction
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Infrastructure? No Offer Description Develop machine learning models to detect early signs of abrupt shift towards clean energy technologies and make climate action adaptive to this information. Job description