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to different incentive attributes such as insurance or material (reserved land) For potential future inhabitants, you will model the choices made by individuals, based on their wealth, when offered
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systems analysis and modeling: Leverage complexity theory principles and tools such as system dynamics, agent-based modeling, and network analysis to modeling to electricity grids, digitalized energy
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meaningful, data-driven models of disease processes, including stratification. The project will also explore the combination of data-driven and knowledge-driven approaches through multi-agent simulation
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) and their relationships with neighboring tissues in pathophysiological conditions. We utilize in vivo mouse genetics, live imaging, 3D organoids, genome-wide Cas9/Crispr based functional genetic
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background in individual- /agent-based modelling Experience with modelling of animal energetics Strong R and Netlogo skills Good understanding of movement & population ecology Experience in publishing