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/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable capabilities
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, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level – from molecules and cells to organs and the entire organism
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microgrids integrating intermittent renewable energy sources (solar, wind), storage systems (batteries, hydrogen), power electronic converters, and controllable loads. These complex cyber-physical
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dynamics, including oscillations and spatiotemporal activity patterns. By developing and applying advanced causal discovery methods for complex time-series data, you will establish a multi-scale framework to
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clearly, and are motivated to analyse complex spectroscopic data and connect these results to molecular processes. Strong initiative and passion for science Open to collaborate with students (BSc/MSc), PhDs
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(e.g. VAE, UMAP, surrogate models). Working carefully and reproducibly, document simulation conditions and results clearly, and are motivated to analyse complex data and connect these results
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research group, which focuses on sustainable polymer chemistry. You will also become part of the interdisciplinary Institute for Complex Molecular Systems, which connects TU/e researchers working across
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filaments and driven by molecular motors, motile cells in a tissue, self-propelled particles and their collectives. Even though the complexity and diverse properties of active systems make their investigation
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. The work plan includes: (i) the fabrication of micro-models of increasing complexity; (ii) the functionalization of these micro-models to achieve surface properties that aim to bacterial adhesion and mineral
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interact with complex glycans and how receptor binding evolves across strains and host species. Depending on your background and interests, you will contribute through complementary approaches such as