73 data "https:" "https:" "https:" "https:" "UNIV" PhD positions at Technical University of Munich
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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University of Munich (TUM), you will be submitting personal data. Please refer to our data protection information in accordance with Art. 13 of the General Data Protection Regulation (DSGVO) http://go.tum.de
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the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your
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protection information of TUM. Kontakt: fabian.frick@tum.de; maria.vrachioli@tum.de More Information http://pur.wzw.tum.de
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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://portal.mytum.de/kompass
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) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
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information). If applicable: List of relevant projects and publications. Optional: A letter of recommendation from your MSc thesis supervisor. Applications will be reviewed starting 30 April 2026 and will
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: henriett.kakonyi@tum.de More Information https://www.ie.mgt.tum.de/tim/news/article/new-phd-position-at-the-tim-chair-1/
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recovery efficiency. Working closely with our experimental collaborators, you will analyse and model experimental data to efficiently explore the large design space of membrane functionalization and
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of novel catalysts by electrochemical flow cell measurements that will be coupled to on-line analytics (c.f. https://www.nature.com/articles/s41563-019-0555-5). Specifically, an in-house designed flow cell