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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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knowledge and model structure developed within phase 1 of the research program Mistra Food Futures (mistrafoodfutures.se) and include extensive collaboration with various researchers and external
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response. Within the research group, we value a good work environment based on respect and care in our interactions with one another. We continuously work to create conditions for job satisfaction
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areas at the department include economic growth and structural change, innovation, energy and sustainability, development economics, and economic demography, as well as financial history and education and
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are to identify AI-guide characteristics, investigate interactions between AI-guides, pedagogues and visitors, and explore the combination of visuo-verbal interactions for enhancing engagement and learning with
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: Intermediate Storage and Distribution for Maritime and Land Transport”, funded by Energimyndigheten. The project addresses key challenges in enabling large-scale compressed gaseous hydrogen infrastructure in
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trait variation, with a focus on how biotic interactions—particularly with pollinators—and abiotic factors shape plant reproductive strategies. We conduct our research along altitudinal gradients in
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providing interaction with researchers from diverse research fields and access to various scientific and technical expertise. Background and description of tasks We are developing genetic screening tools
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Electron Microscopy (TEM) and HAADF-STEM images. Microscopy data are often degraded by noise and scan distortions, and clean ground truth data are rarely available. This project aims to go beyond standard
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the organization of DNA and its relation to the dynamic 3D-structured chromosomes. The student will form a part of our new NEST initiative funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP