82 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich in Germany
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to our researchers, giving them room to focus their full creative potential on developing the imaging and sensing technology of tomorrow. The successful candidate will specifically: • Lead project
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and their relationship with greenspace structure and surrounding urban landscape. The results of this work will contribute to tools and guidelines for creating multifunctional and biodiverse urban green
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27.12.2021, Wissenschaftliches Personal The Chair for Renewable and Sustainable Energy Systems (ENS) at Technical University of Munich (TUM) is part of the TUM School of Engineering and Design and
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02.07.2024, Wissenschaftliches Personal The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc or Doctoral Candidate (f/m/d) in
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data are essential. This has also been appreciated with the nomination “technology of the year 2019” by the journal Nature Methods. Our research group employs state-of-the-art single cell sequencing
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-year bachelor’s degree in chemistry, chemical engineering or adjacent areas - High motivation and joy to learn about chemistry and chemical engineering - Strong commitment to solve some of the most
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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. Kulozik’s chair of Food and Bioprocess Engineering. Your profile We are looking for a talented individual who is excited about academic research. He/she should be able to work independently as
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of human health, biodiversity, nature and the build environment • Proactivity, creativity and excellent communication skills • Organized and structured working style • Good knowledge of project management
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Management Technologies at TUM’s School of Engineering and Design is looking for a doctoral researcher (f/m/d) in the area of Collaborative Machine Learning for the Energy Transition. You are passionate about