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Field
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-based modelling, quantitative resilience assessment, and risk analysis to simulate and optimise resilience strategies. The framework will be tested and refined through pilot studies in collaboration with
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hypothesis is that it is possible to design a mixed network by simulating how to serve a given demand with an on-demand ridepooling service, tracking the vehicles’ routes, and allocating fixed lines wherever
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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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the vehicle fleet and the multi-objective design of the mixed transporation network. Our key hypothesis is that it is possible to design a mixed network by simulating how to serve a given demand with an
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multi-agent ecosystems. The approach followed encapsulates Design-Based Research (DBR) and Responsible Research and Innovation (RRI) principles. The PhD fellow will engage with designing and evaluating
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but not limited to Generative AI and multi-agent ecosystems. The approach followed encapsulates Design-Based Research (DBR) and Responsible Research and Innovation (RRI) principles. The PhD fellow will
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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to characterize network-wide interventions, like reallocating road space or travel demand management schemes. Second, to develop an MFD-based traffic simulation linked to the agent-based simulation environment
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Job Description The Department of Technology and Innovation at the University of Southern Denmark (SDU) invites applications for one PhD position within the field of Agentic AI for Supply Chain
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data