205 computing-"https:" "https:" "https:" "BioData" "BioData" "BioData" "BioData" "BioData" positions at Technical University of Munich in Germany
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administration, industrial engineering, business informatics, or economics), informatics, or natural sciences/engineering with an outstanding degree (resp. graduation shortly) Internships or other professional
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they interact and connect with each other. The doctoral researcher will develop computational indicators that capture these patterns from digital communication data, model how learning relationships form and
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: adrian.doerfler@tum.de More Information http://www.mos.ed.tum.de/nma
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: contact.btd@ls.tum.de More Information https://www.lse.ls.tum.de/btd/home/
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for an interdisciplinary “bridge-builder” who strives for Scientific Excellence and Real-World Purpose. ● Background: HCI (Human-Computer Interaction), Computer Science, Ethnography, Sociology, or a related
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-cell communication, and cellular plasticity—all without destroying the sample. (https://www.cell.com/cell/fulltext/S0092-8674(25)00288-0 , https://www.biorxiv.org/content/10.1101/2024.11.11.622832v1
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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office.ethics@mh.tum.de https://get.med.tum.de/ www.tum.de If you apply in writing, we request that you submit only copies of official documents, as we cannot return your materials after completion
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: friedrich.esch@tum.de More Information http://www.ch.nat.tum.de/pc
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key