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dewatering. Water management and monitoring (surface and subsurface). Climate change adaptation in water resources. Reactive transport modeling. Job Description The Geology and Sustainable Mining Institute
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Technology POLITEHNICA Bucharest, Project name: Digital Twin Earth Intelligence for Climate Changes (DTEClimate), CF 760008/30.12.2022, cod 7/16.11.2022. Specific project 1: AI for Digital Twin Earth (AI4DTE
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and a PhD in energy, environmental sustainability, or related fields, with experience in energy modeling of buildings and districts and in the sustainability assessment of systems and processes. A good
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recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project Background : The world is experiencing an unprecedented biodiversity crisis, driven by climate and land
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Environment Water Research Centre (EEWRC) The Climate and Atmosphere Research Centre (CARE-C) The Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC) Considerable cross-centre
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profile in the fields of education, culture, management & technology, sustainability as well as public affairs. Its award-winning study model is organized into the Leuphana College, the Leuphana Graduate
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://ecologyandevolution.uchicago.edu/ ) explores how life evolves and interacts with the environment across scales, from genes to ecosystems. The Climate Systems Engineering initiative (CSEi) (https://climateengineering.uchicago.edu
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Aarhus University’s Department of Ecoscience invites applications for a 2-year postdoc to co-develop a spatially-explicit individual-based dynamic energy budget model (DEB-IBM) for high-Arctic
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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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Qualifications Minimum Education and Experience Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical modeling