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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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. The project focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how
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development of methods for the non-destructive investigation of the pyramids of Giza in Egypt (World Cultural Heritage) in cooperation with our partners by using acoustic imaging techniques as part of
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full-time PhD candidate on the topic of “Automatic Recognition of building attributes” About us The TUM-Professorship for Data Science in Earth Observation develops innovative methods for information
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17.10.2025, Wissenschaftliches Personal Do you bring experience in working with lasers? Are you interested in working on method development in femtosecond spectroscopy in an international, motivated
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safely in real-world environments remains challenging. The research aims to develop a framework for 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗮𝗻𝗱 𝘀𝗮𝗳𝗲 𝘁𝗮𝘀𝗸 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗵𝘂𝗺𝗮𝗻𝗼𝗶𝗱 𝗿𝗼𝗯𝗼𝘁𝘀
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07.10.2025, 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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doctoral network and undertake an interdisciplinary PhD project with the Plant Ecophysiology group at the TUM School of Life Sciences FutureForests aims to train next generation scientists in assessing
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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