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Field
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PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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The Topic This PhD studentship is based in the School of Psychology at the University of Kent. The studentship is funded by a European Research Council Starting Grant fulfilled through a UKRI
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Industry-based HDR project open for Domestic Students in Australia (Citizens and Permanent Residents) at RMIT University in collaboration with Consunet Pty Ltd. The scholarship is supported by
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Science Foundation. The successful applicant will be based at the Swiss TPH and registered for a PhD degree at the University of Basel, Switzerland. Trypanosoma cruzi is the causative agent of Chagas
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team, the PhD student will support the development of discrete choice experiments in two countries, and agent-based modelling, as we plan to model how doctors make job choices among alternative hospitals
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working closely with collaborators; familiarity with or a keen interest in developing mechanistic models of dynamical biological systems (differential equation-based modelling, agent-based modelling
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computational models and mechanisms that enable AI agents in Hybrid Human-AI teams to learn, adapt, and utilise shared team norms through interactions to ensure their actions are aligned and justifiable
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outcomes. Our research seeks to bridge this knowledge gap by using Agent-Based Modelling (ABM) to simulate and evaluate the impact of various green infrastructure design scenarios in peri-urban areas
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study. The student would be based in the Department of Computer Science in the Faculty of Environment, Science and Economy at the Streatham Campus in Exeter. Computing systems increasingly operate in
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analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all