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-based workshops; and System Dynamics Modelling, to understand how to maximise the contribution of Nature Based Solutions to climate change adaptation in the UK through multifunctional landscapes in
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Deadline: none (posted 2025/05/16) Position Description: Position Description We are pleased to announce exciting postdoctoral opportunities within Dynamical Systems and Ergodic Theory group at Sun Yat-sen
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for an appointment as a postdoc in social dynamics and complex systems. The position is funded by the Villum Young Investigator grant titled “Bridging social neuroscience and social data science: uncovering
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—to investigate magnetization dynamics. The goal is to precisely resolve the static and layer specific dynamic modes of topological magnetic textures—like chiral domain walls, skyrmions, hopfions, and more.
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 hours ago
Biocomplexity (LFPB), headed by Prof. Dr. Eberhard Bodenschatz, fosters a stimulating international research environment on active complex systems ranging from Biophysics to Fluid Dynamics. The research
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ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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The Department of Electrical and Computer Engineering at the University of California, Riverside invites applications for a full-time Postdoctoral Scholar position for candidates with expertise in Dynamics and
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change #utilize a participatory system dynamics modeling to match resilience patterns with best-fit learning cases from various regional contexts in Europe #develop a resilience performance framework for
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diverse cases based on land use, socio-ecological systems, and trajectories of land and climate change utilize a participatory system dynamics modeling to match resilience patterns with best-fit learning