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and regenerative aspects of healing. These models will enable systematic evaluation of material-cell interactions under physiologically relevant conditions, helping to reduce the IVIVD and advance
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team from various backgrounds with a large knowledge base. We conduct research on Li-Ion batteries ranging from material development, structural analysis with x-ray techniques, to digital modeling and
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Systems We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can become more adaptive
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of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and
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: Design and implement specific functional read-outs and quantitative assays to assess vascular-lymphatic interactions. Collaboration & dissemination: work closely with research partners, contribute
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Your position Biomolecular dynamics, such as conformational changes, are the understudied link between biomolecular structure and function. Single-molecule FRET is an established technique, unique
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-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
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-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
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nano-scale objects Designing and building a coherent low-energy electron microscope Sample preparation and recording holograms Numerical reconstruction of the sample structure Presenting the results
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machine learning Write research papers, articles, and present results at leading international conferences. We publish in venues such as ICML, NeurIPS, ICLR, JMLR, AISTATS, and more Interact with national