59 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships at Technical University of Munich in Germany
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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efficient digital twin frameworks for real-world wind turbines. Position information: Application deadline: 30.04.2026 Starting date: 01.09.2026 Position type: full time Position duration: 3 years Research
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: Prof. Dr. Antonella Di Pizio (a.dipizio.leibniz-lsb@tum.de). More information on the working group can be found here: https://www.leibniz-lsb.de/forschung/forschungssektionen/sektion-iii. Please send
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RNA sequencing workflows and basic bioinformatics • Experience with Python and R for transcriptomic data analysis We offer The position (TV-L13 (65%) salary according to German public sector regulations
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: applications.era@ed.tum.de More Information https://www.cee.ed.tum.de/fileadmin/w00cbe/era/open_positions/OpenPhDPosition_TUM_ERA_IAS2025.pdf
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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-to-store
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our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https
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that you have acknowledged the above data protection information of TUM. Kontakt: shadi.albarqouni@helmholtz-muenchen.de More Information https://albarqouni.github.io/team/
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11.11.2024, Academic staff In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the actual stress
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06.04.2023, Academic staff We are seeking highly motivated and talented candidates to join our interdisciplinary research group at the Technical University of Munich focused on Responsible Data