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that diversity takes many forms. We believe 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
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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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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and
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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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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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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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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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., 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