76 post-doc-image-engineering-computer-vision PhD positions at Technical University of Munich
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23.10.2023, Wissenschaftliches Personal 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
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or comparable degree in physics, biology, bioengineering, material engineering or a related discipline. You have experimental experience in cell/tissue culture, microfluidics, or a related discipline. You enjoy
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profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault
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are therefore ex-pressly welcomed <>< b=""><> Please send your application with relevant documents by August 28 2025 at the latest to: Technical University of Munich Chair of Ecosystem Dynamics and Forest
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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for food applications, through high-performance microbial bioprocesses (“precision fermentation”) and tissue-engineered cultured meat from animal cells. Requirements We are looking for applicants with a
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to the following programs and mention Niki Kilbertus as possible supervisor: If you plan to start before May 2026 (and only then), send your application as a single PDF in English to niki.kilbertus@tum.de with
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science, physical chemistry, materials science, or materials engineering, or a closely related field • Experience with cellulose and its processing technologies is an advantage • Strong willingness
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strong ties with the LMU Munich, the University of Regensburg and the Helmholtz Zentrum München. Please send a letter of motivation and CV in a single PDF to: claus.schwechheimer@tum.de The positions
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and