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Field
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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental
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as part of a team translating psychological constructs into mathematical/dynamical rules driving comprehensive agent-based models incorporating disease transmission, behaviour and feedback loops
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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clinicians. The research will involve investigating fungal cell biology, mechanisms of action of novel antifungal agents, mechanisms of antifungal resistance, and host-pathogen interactions involving A
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a major scientific and societal challenge. It requires fundamentally new approaches to control and optimization in environments where multiple agents interact under uncertainty and constraints. In
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& Agentic AI (A3) Lab, supervised by Associate Professor Behzad Bozorgtabar and co-supervised by Professor Qi Zhang. Research vision How can intelligent robots understand instructions, anticipate
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changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network
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research direction is the integration of strategic transport models, such as discrete choice modelling (DCM) with agent-based modelling (ABM), to examine potential transport behaviour under different
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). Moving away from conventional studies on Muslims in Europe, as foreigners and immigrants, this project considers Muslims as Europeans and agents of their own belonging to the EU. The project has four main
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, Retrieval-Augmented Generation (RAG), agentic AI, software-defined vehicles, and AI-supported software engineering in collaboration with academic and industrial partners. Requirements A completed master's