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for monitoring and managing animal environments. Highly motivated in design and development of reliable LLM-based agents, integrating APIs and indoor environmental control systems, and translating natural
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, potentially from cognitive science, for the AUFF project Designing Organizational Search: A Tournament Study at the Department of Management. Using a game-based platform, we study complex problem-solving by
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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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model integrity and data confidentiality. The successful candidate will develop novel frameworks that enable effective collaboration among language model-based agents without exposing proprietary
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for extension. We are looking for someone to join our team of consumer behaviour scientists and agent-based modellers who can bring knowledge of and experience with modelling cognitive or behavioural change
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collaboration among language model-based agents without exposing proprietary parameters, private training data, or sensitive reasoning traces to untrusted participants. Specific research topics can include, but
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, you will be affiliated with a research and development project on the use of agentic AI companions in Business Intelligence courses at Aarhus BSS. The project develops, tests, and evaluates AI-based
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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and