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of imaging detectors, optical communication and quantum communication. Depending on the your interests, technical competences and project constrains in 2026/27, you will support one or more of these
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major European initiative developing scientific foundation models (SciFMs) for materials science. SciFMs are emerging as a powerful paradigm for scientific discovery. SIMU-LINGUA addresses key challenges
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in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
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will validate. You will derive model parameters from experimental imaging and use inverse modeling techniques to measure microthrombi deformation under flow. Hybrid Research: You will study wall
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security-oriented workflows. This includes designing methodologies that ensure traceability, robustness and bias mitigation in AI models, as well as creating prototype tools that demonstrate how transparent
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facilitates researchers and users of various research disciplines. Its research focuses mainly on materials for energy conversion and storage, and health technology for imaging, diagnosis and therapy with
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into clinically relevant hypotheses and protocols. You analyze clinical, physiological, and imaging datasets with rigor and reproducibility. You publish your results in peer-reviewed journals, present
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practices. GenAI is no longer confined to automating routine tasks but increasingly produces outputs (e.g., texts, images, code) that were once the exclusive domain of human expertise. Despite growing
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, actuation, and control. The research includes the design, fabrication, and experimental validation of micro-scale robotic platforms, integration of optical and imaging-based feedback, and development
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the Institute for Cultural Inquiry (ICON) – one of the four research institutes of the Faculty of Humanities – and the interdisciplinary focus area Governing the Digital Society (GDS), which fosters