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Field
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of AI for the integration of multimodal healthcare data specifically incorporating patient preferences. This includes investigating new methods but also designing and benchmarking integration algorithms
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designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do
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Challenge: Understanding how micromobility affects pedestrian stress and comfort Change: Leveraging XR simulations to explore real-world pedestrian interactions. Impact: Guiding urban policy toward
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interaction research; Who has experience with human-AI interaction research; Who has experience with mixed-methods research (quantitative-qualitative research methods), preferably including design-based
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over time. These insights are crucial for understanding degradation mechanisms and ultimately for designing more robust and recyclable battery systems. We are particularly interested in candidates with
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) design, based on diffusion and/or flow matching, that can rapidly adapt pre-trained models to new tasks and select optimally informative simulations at each stage in a design process. Collaborate closely
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interaction of hydrogen, humidity and other species with the materials. This project will be a true team effort, involving Research technicians, Scientific staff, and Expert advice from companies/research
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insights into how interacting drivers, such as nutrient enrichment an drought, affect species diversity and ecosystem functioning, especially belowground. Understanding these interactions is particularly
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collaborate with audiologist Prof. Dr. Ir. Cas Smits and a lived-experience consortium. This is what you will do Your primary responsibilities are to design, plan, and perform experiments; perform analysis
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do Your primary responsibilities are to design, plan, and perform experiments; perform analysis, interpretation, and storage of data; writing manuscripts and presenting results at (inter)national