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                (e.g. econometrics, statistics) interest in natural resources, agriculture or the general food system and related technology a high motivation and the ability to work independently with a strong team 
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                13.04.2021, Wissenschaftliches Personal The chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for an excellent candidate for a 
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                08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 
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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 performing fundamental research in the frame of the project AI-CHECK funded by the International Graduate School of Science and Engineering (IGSSE). The candidate has the opportunity to pursue a doctoral 
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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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                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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                of approximation and online algorithms, algorithmic game theory or algorithm engineering. The position is paid according to the German public salary scale TVL-13 and provides a competitive salary with standard 
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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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                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