74 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" scholarships at Technical University of Munich
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but not limited to solid-state chemical synthesis, wet chemical-based approaches, high throughput synthesis techniques) to fabricate all-solid-state sensor structures. • Characterize the bulk and
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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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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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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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02.02.2026, Academic staff The newly established research group in Particle and Fiber Technology for bio-based Materials, led by Prof. Dr. Wenwen Fang, is seeking a highly motivated PhD in
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23.10.2023, Academic staff The Technology and Innovation Management (TIM) Group at the TUM School of Management of the Tech-nical University of Munich, headed by Prof. Dr. Joachim Henkel, is
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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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are necessary to complete the task. If you hold a diploma or Master's degree in Computer Science or Engineering, possess a sound knowledge of applied informatics and want to join a highly motivated research group
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good