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operational performance. Based on feedwater composition (salinity, monovalent/divalent ion ratios, and valuable elements), you will model and design ED configurations that produce tailored concentrate streams
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, supply chain management, or a related field. Experience with system modeling or scenario analysis (e.g., system dynamics, agent-based modeling, MCDA, causal mapping). Understanding of or interest in
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in systems engineering, industrial engineering, operations research, supply chain management, or a related field. Experience with system modeling or scenario analysis (e.g., system dynamics, agent
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have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modeling), spatial data infrastructure systems and strategies, participatory serious gaming
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Universities (CAO NU)); 8% holiday pay and 8.3% year-end bonus; a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU. In addition to the terms of employment
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, behavioural data). Your team You will collaborate with several GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modeling
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affordance and lower infrastructure use develop an agent-based model that regards infrastructure as a socio-technical system reveal under which patterns of user behaviour, infrastructure performance and demand
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. Advertising images can also link products to ideas of success. Thus, these forms of communication are not merely tools for conveying messages, but powerful agents that sculpt our society, influence our
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(agent-based modeling, differential equations) or machine learning tools. Good programming skills in one of the following programming languages: R, Python, MATLAB, or similar; Excellent English language
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to: identify policy mechanisms that can change infrastructure affordance and lower infrastructure use develop an agent-based model that regards infrastructure as a socio-technical system reveal under which