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safely in real-world environments remains challenging. The research aims to develop a framework for ๐๐๐ฐ๐ฐ๐ฒ๐๐๐ณ๐๐น ๐ฎ๐ป๐ฑ ๐๐ฎ๐ณ๐ฒ ๐๐ฎ๐๐ธ ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐๐ถ๐ผ๐ป ๐ณ๐ผ๐ฟ ๐ต๐๐บ๐ฎ๐ป๐ผ๐ถ๐ฑ ๐ฟ๐ผ๐ฏ๐ผ๐๐
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07.10.2025,ย Wissenschaftliches Personal The MCML opens its doctoral call annually. This year, applications are accepted from 15 October to 14 November 2025. You will develop a PhD research project
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Disse), the Chair of Geoinformatics (Prof. Thomas H. Kolbe), and the Chair of Algorithmic Machine Learning & Explainable AI (Prof. Stefan Bauer). The project aims to develop an integrated urban flood
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epidemiology. This collaborative environment fosters innovation and skill development, providing hands-on training in organoid culture, pollutant exposure methods, and data analysis. Additionally, through a
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digital twin systems Participation in research projects, execution of project deliverables, and generation of reports Maintain and develop the live testbed infrastructure for real-world experimentation and
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main focus on the development of control software. โช You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning
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academic supervision from Prof. Henkel. You will participate in the doctoral program of the TUM School of Management; after about a year, there is the possibility to apply for the Schoolโs Academic Train-ing
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significantly impact next-generation experiments at large facilities. Tasks: This project will develop innovative ultracold neutron detectors, using superconducting microstructures for spin- and energy
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and international research group Extensive opportunities for professional development as well as the possibility to pursue a doctoral degree Embedded into a newly established, interdisciplinary research
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for upscaling ecosystem properties (e.g., productivity, phenology) Contribute to the development of an Alpine remote sensing monitoring system Interactive collaboration and exchange within the TUM Center