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Field
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of Alaska communities facing environmental shifts”. This multi-year project is focused on connecting climate induced changes of terrestrial materials fluxes to coastal marine species and communities in
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direct and indirect effects of biomass burning aerosols, homogeneous and heterogeneous chemistry in the atmosphere, and to perform credible Earth system analysis, and climate and air pollution studies
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with experts in climate modeling, geosciences and in renewable energy development have been set-up to respond to these societal issues. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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and applications as part of the energy transition is required to mitigate the climate change challenges. To support this transition, technically skilled human capital in hydrogen production and
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and climate-informed modelling to contribute primarily to the ClimEnergise project (Climate-Informed Energy Systems Planning to Support Ireland’s Net Zero Ambitions). This role will lead the development
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? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Update of the educational program for climate and atmospheric composition. Preparation and support
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This initiative forms part of an EU-funded project dedicated to advancing climate change adaptation through an interdisciplinary, multisectoral, and multi-actor framework. The project aims to enhance understanding
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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
will also have an opportunity to work with other ongoing projects within IE-CEMPD in the field of emissions, air quality and climate modeling, to be mentored by the PI to lead the development of new
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hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical modelling