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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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on-call basis to provide support with these activities as needed. Our group focuses on the development of cancer-targeting agents, with a particular emphasis on radiopharmaceuticals. These therapeutic
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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stands where trees show severe crown deterioration or mortality and the causal agents remain unresolved. The project is based at the Southern Swedish Forest Research Centre in Alnarp and is part of Trees
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and the causal agents remain unresolved. The project is based at the Southern Swedish Forest Research Centre in Alnarp and is part of Trees For Me, a Centre of Excellence focused on fast-growing
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., flooding, heat waves) with agent-based modeling. Publication in scientific conferences and high-impact journals. Supervision of Bachelor and Master theses. Administration related to the work duties listed
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department is responsible for education programs in software engineering from Bachelor to Ph.D. levels. Work description As a doctoral student in this position, you are expected to explore how AI agents
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domains range from agentic software engineering to industrial control systems. Specifically, it addresses the issue of using general vs. specialized models (e.g. per task, company, country or domain). From
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science with a focus on AI engineering, i.e. engineering of systems containing AI-based features (LLM or ML). Application domains range from agentic software engineering to industrial control systems