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multimodal systems. The emphasis is on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual
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at MDU are expected to collaborate and interact with colleagues and students with respect, take responsibility for the organization and their own tasks, and contribute to a positive work environment. We
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consideration in our interactions with one another. We continuously strive to create conditions that foster job satisfaction, development, and participation for all members of the team. The research group is now
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on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing
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you yourself will have the opportunity to formulate a research project which will be suited to our research environment in Language and Culture, preferably specialising in language/interaction
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phases of matter’. Of particular interest are interacting topological phases, usually referred to as ‘topologically ordered’, because their excitations have very unusual properties, they can, for instance
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aims at developing a quantum simulator for open system quantum dynamics using trapped ions excited to Rydberg states. This novel approach features fast interactions combined with long-term stability
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at developing a quantum simulator for open system quantum dynamics using trapped ions excited to Rydberg states. This novel approach features fast interactions combined with long-term stability. This will enable
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, it is crucial to evaluate whether increasing broadleaf stands effectively enhances biodiversity and how these effects vary with landscape context. Additionally, the interaction of forest composition
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biodiversity and how these effects vary with landscape context. Additionally, the interaction of forest composition at stand and landscape scales in shaping species communities is not well understood. Advances