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to design healthier, more active cities? Join the Institute for Risk Assessment Sciences (IRAS) as a PhD candidate “Designing for movement: modelling physical activity in urban environments using Agent-Based
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A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University , the various disciplines collaborate intensively towards major strategic themes . Our focus is on Dynamics of Youth, Institutions for Open...
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PhD Candidate in Agent-Based Modelling and Urban Health: Designing for Movement Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 36
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-quality educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with
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educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
are recruiting PhD students to work on this exciting topic of LLM-based agentic AI, with the goal of making AI agents reliable, efficient, and collaborative. The research results are expected to become the core
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? No Offer Description We have two exciting PhD positions at the intersection of formal software verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based
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Primary supervisor - Prof Mark Searcey One of the key problems in the development of new anticancer agents is specificity. How do you get the compound to the site of action in the body and avoid
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to agent-based and computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels
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computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels of risk propagation