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responses are pedagogically valid, contextually appropriate, and consistent with collaborative learning theory. Scaffolding mechanism design. In close collaboration with the PhD candidate and educational
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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for large-scale 3D particle tracking by merging measurement theory and practice with flow modelling for applications in industrial wind tunnels for the aerospace sector and oversee the application of helium
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and physical systems, including topics such as differential geometry, invariant theory, algebraic and metric geometry, symmetry, geometric data analysis, and infinite-dimensional geometric structures
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study across the human sciences because of its importance for individuals and societies. Sociological and demographic research has developed numerous theories of fertility and produced a sophisticated
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traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where possible. This innovative new approach enables more efficient and
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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where
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, ensuring the agent's responses are pedagogically valid, contextually appropriate, and consistent with collaborative learning theory. Scaffolding mechanism design. In close collaboration with the PhD
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. The position is dedicated to research. You will have no teaching obligations, but there are opportunities to teach if desired. You will co-supervise thesis projects of BSc. and MSc. students related
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cardiovascular care. Within the consortium, TU Delft contributes expertise in cardiac mechanics, soft tissue modeling, growth and remodeling, machine learning, and uncertainty-aware model personalization. As a