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climate impact. Moreover, emissions from aircraft significantly degrade air quality, resulting in approximately 16,000 premature deaths each year. Given the anticipated increase in air traffic, the aviation
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Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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increasing demands for climate neutrality and sustainability. It is imperative to build, demolish, and rebuild with a clear purpose and in a smarter way. A substantial share pf the global energy usage is
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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aspects of the research project(s), including design, fabrication, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles
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actors involved in managing public space? How can they adapt to dynamic societal needs and increasing spatial interdependencies? What institutional models promote more efficient, equitable and resilient
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insights into the robustness and resilience of land use decisions in an uncertain future. Relevant landscape models will be applied in selected case study countries to explore greenhouse gas flux and
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2025 Apply now In the face of ongoing climate change and sea level rise, the Dutch delta must adapt to ensure a safe and livable environment. In the past decades, the southwestern part of the delta has
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qualification is required at time of hire. Required Qualifications Completed Ph.D. in Ecosystem or Landscape Ecology (or related field such as ecosystem modeling, biogeochemistry, or climate change ecology