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23.07.2025, Wissenschaftliches Personal The Ecosystem Dynamics and Forest Management Group at the TUM School of Life Sciences, Technical University of Munich studies how forests change in time and
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adaptive, automated decision-making tools (e.g., traffic signal control, human–vehicle coordination, logistics optimization, route planning) using reinforcement learning in dynamic environments. Explanation
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cellulose and yield fundamental insights into supramolecular structure and dynamics in biomaterials. Your profile We are looking for a candidate with the following qualifications: • Master’s degree in polymer
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
efficient algorithms -Graph drawing and layout algorithms (including dynamic and high-dimensional visualizations) Visualization in non-Euclidean spaces (e.g., spherical or hyperbolic) Perceptual studies and
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Master’s students, supporting their academic and research development. ▪ You will be part of a dynamic international team dedicated to advancing quantum technologies and computing with superconducting qubits
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facilities (sequencing, proteomics and metabolomics). This dynamic setting fosters innovation and teamwork, enabling cutting-edge discoveries in the field of microbiome studies. The candidate will work on a
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assays (e.g., high-throughput atomic force microscopy). This position offers the opportunity to work in a dynamic and multidisciplinary environment, contributing to a project with both fundamental
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and regulatory compliance for innovative NLP applications. Full-time position (100% TVL-E 13). A collaborative environment in a dynamic, young team at one of Europe’s top universities. Opportunities
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408. The Technical University of Munich (TUM), as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUM has established the Collaborative Research
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through resonant excitation of specific bonds. It will revolutionize the field of biopolymer processing beyond cellulose and yield fundamental insights into supramolecular structure and dynamics in