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. The main contributions will be new knowledge on what interface designs appropriately allow interaction with the underlying technologies, as well as opportunities and barriers for further applications and
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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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Under Pressure (KUP)", takes a bold and innovative approach to this problem. We are exploring an entirely new perspective: how the design and variation of perches, a key feature of housing systems, can
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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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, 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
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. The research will examine: How F-formations shape visitor interactions with AI-driven guides and human facilitators The role of embodiment in AI-guide design, including gestures, gaze, and positioning How
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). Experience working in an accredited laboratory (ISO 17025 or ISO 15189) and conducting biological risk assessments is considered a merit. Proven ability to independently plan, execute, and interpret
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis