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science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic
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, natural and social sciences, and engineering. For additional information pertaining to our curriculum, go to https://www.bucknell.edu/management . QUALIFICATIONS Candidates must possess a graduate degree
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ecosystem responses to climate change and anthropogenic disturbance including natural resource exploitation like mining and other industrial activities, biodiversity and population ecology, biogeochemistry
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
aircraft capabilities + Assessing the resulting fleet-wide economical and climate impact Facilitate future expansion to also include other domain models for optimization (e.g. noise) in collaboration with
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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candidate will help design, implement, and evaluate a novel science-policy engagement process that combines climate modeling, role-play simulations, future storytelling, and participatory workshops
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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of these interactions into soil and ecosystem models. Depending on the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two
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preparing students to be educated and enlightened citizens who lead productive and meaningful lives. Vision To be the national model for the engaged university: engaged with ideas and the world. Who We
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drought limits growth. Building on these experiments, you will use mechanistic models to see whether we can predict future wood formation under climate change. Your findings will provide the empirical