54 structures "https:" "https:" "https:" "https:" "NOVA.id" PhD positions at Technical University of Munich
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https://www.ep.mgt.tum.de/en/pur/team/vacancies/
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: fabian.frick@tum.de More Information https://www.ep.mgt.tum.de/en/pur/team/vacancies/
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a candidate (m/f/x) who will use the combination of our spectroscopy infrastructure, and structural information
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” concentrates on the understanding of structure-performance indicators in electrocatalytic reactions. Our catalysts are the heart of sustainable energy conversion processes such as in hydrogen fuel cells
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- Ideally, knowledge of driving simulation software (e.g., SILAB) - Experience in the design, implementation, and evaluation of empirical studies - Ability to work in a team, structured approach to work, and
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excitation of specific bonds. It will revolutionize the field of biopolymer processing beyond cellulose and yield fundamental insights into su-pramolecular structure and dynamics in biomaterials. About us Our
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processing parameters. You will develop machine learning models to analyse experimental datasets and uncover structure-function relationships that determine membrane performance. By combining statistical
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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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Chair of Materials Engineering of Additive Manufacturing at the Technical University of Munich teaches and researches in the promising field of additive manufacturing of metallic structures. The main
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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