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Field
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/ Duties The primary focus will be on dynamical analyses, often using simplified models. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data
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have a solid understanding of evolutionary economic geography methods and models and/or of political competition and public opinion from a geographical perspective. The candidate must also have solid
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adapt methods in statistical time to event analysis, such as multi-state models and joint models. Qualification requirements We are looking for applicants with a strong academic background who have
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fellow with a Ph.D. in electrical engineering, applied mathematics, or related field. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent
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fellowships aim to develop the next generation of future leaders of the innovation system. As a Postdoctoral Fellow, you will tackle climate and environmental challenges facing Australian communities by
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relevance to depleting fields. The resulting workflows or guidelines should be relevant at field scale and be applicable on field models from the Norwegian Continental Shelf. The project is modeling based and
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. Emphasis is also placed on your: strong quantitative and methodological skills relevant for research in economics or finance (e.g., econometrics, applied statistics, or analytical modeling) motivation and
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environments and socioeconomic disparities. The postdoc will also participate in co-designing a research framework for transformative interventions, including urban planning strategies and model simulations, and
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. The project will collect and analyse diverse types of data for the reconstruction of changes in climate, biodiversity and wildfires across different biomes and examine the role of human activities in shaping
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and oral communication A team science model Collaborative approach to research and training Initiative, independence, and integrity Ability to work on sensitive subject matter in a mature manner