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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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to the following: Develop a comprehensive understanding of the oxidation kinetics and mechanisms using different oxidising agents. • Develop a comprehensive understanding of the leaching kinetics and
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to efficiently navigate high-dimensional decision spaces, leveraging open-source agent-based simulation tools to evaluate accessibility and environmental impacts of urban planning policies. You should have an MSc
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human analysts and counter huge increases in data volumes. Improved synthetic training utilising machine-based instructors, matched to individual training needs. Improved “Virtual Assistants” for the next
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the Department of Chemistry at the University of Iowa is searching for one or two postdoctoral research scientists to investigate two different projects: Project 1: Effect of a Change Agent in Doctoral Education
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. These frameworks will: Identify the causes and responsible agents of liveness breaches, and assess any resulting harm. Support recovery strategies using counterfactual reasoning (“what if?”), guiding programs back
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, this cohort of funded students will receive training in machine learning and AI methods at the University, together with training in the fundamentals of air traffic control at NATS, based at Whiteley
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to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
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. Examples 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
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to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new