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that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we
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should feel comfortable working in a collaborative environment with complex instrumentation and experiments. Analytical thinking, good communication skills, and an independent working attitude are highly
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of high‑tech system design—such as the design of lithography machines—can already be automated, current design‑automation tools remain limited to specific domains or subsystems. Given the growing complexity
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reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and learning algorithms
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complex data collection carefully and communicate clearly with children, parents, artists, and partner organizations; Good-to-have: Experience with research involving young children; Good-to-have
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causality. We will develop methods to learn from unstructured data Causally Grounded Concepts, i.e., concepts with theoretical guarantees as error bounds and sample complexity, in challenging settings with
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decision-making and reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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systems, autonomous platforms, and critical infrastructure—are increasingly exposed to cyber-physical attacks and uncertainties. These disturbances induce complex, time-evolving performance degradation
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into complex tissue-like structures. These structures offer exciting opportunities to mimic organ development and embryogenesis in vitro. However, current organoid models still only partially replicate natural