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The Chair of Non-Destructive Testing (www.zfp.tum.de) is devoted to research and teaching in the field of material characterization using non-destructive testing methods. The focus of the chair includes
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experience in remote sensing and programming is a plus (e.g., using QGIS or R) Good communication skills Ability to work in a team Your tasks You will conduct research on the use of remote sensing data
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motivated both independently and in a team • Very good written and spoken English skills • Some knowledge or background in the geosciences and/or Earth observation is an advantage • Knowledge of processing
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to contribute to the setup and management of laboratory infrastructure • Fluency in English, particularly in scientific writing and communication, is required; A good working knowledge of German is preferred
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tools (e.g., Python programming) is an advantage. You enjoy working in an international team and have good communication skills. Proficiency in spoken and written English is required. For more information
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to remote sensing and simu-lation modeling. A particular focus of our work is on mountain forest ecosystems. A quantitative understanding of ecosystem dynamics provides the foundation for the development
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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. Student / Junior Researcher Microeconomics / Applied Economics The initial appointment will be 2 years with the possibility of extension. Salary is in accordance with the German State Regulated Public
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408. The Technical University of Munich (TUM), as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUM has established the Collaborative Research
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forward to welcoming you • flexible working times and therefore good compatibility of work and family • company pension scheme • special annual payment Leibniz-LSB@TUM is committed to equal opportunities