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conceptual knowledge and/or practical experience in topics such as agent-based modelling, bayesian statistics, causal inference, data visualisation and graphical interfaces, geospatial data analysis, high
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. You will then develop a procedure to translate these quantified relationships to a predictive agent based model for the investigation of animal movement behaviour under future climate scenarios. We also
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operation including maintenance. Our research builds on a variety of methods, ranging from analytical methods to fast-time traffic, or agent-based, simulations, and from the newest operations research methods
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nature and communities, creating products that do not deplete but enhance the earth and social systems. You will thus work in co-creation with entrepreneurs to develop artistic and art-based approaches
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governance, simulation and modelling (agent-based modelling, discrete-event simulation, network models), data modelling / interoperability (e.g., ontologies/semantics, data standards, API-based exchange
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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. Your team You will collaborate with GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modelling), spatial data