20 expert-system-knowledge PhD positions at Technical University of Munich in Germany
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, analytical chemistry •Interest in working independently on scientific issues •Willingness to work in a team with academic partners •Good knowledge of German and English, both written and spoken Tasks
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from a university with a focus on aerospace, physics, or related fields • Very good and fundamental knowledge in the areas of theoretical fluid mechanics and structural mechanics, as well as aero-thermal
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, physics or related fields • Very good and fundamental knowledge in the areas of fluid mechanics and aero-thermal turbomachinery • High fascination for technical/scientific problems of numerical and
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operational responsibilities What we offer Compensation according to TVL-13 (65%), initially limited to 3 years. The possibility to do a PhD is given and desired. A very good working atmosphere in
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management and operational responsibilities What we offer Compensation according to TVL-13 (65%), initially limited to 3 years. The possibility to do a PhD is given and desired. A very good working atmosphere
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positions will be part of a dynamic and collaborative team that conducts cutting-edge Data Science research and will provide opportunities to work with leading experts in the field of Responsible Data Science
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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies
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good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies Experience with remote sensing data is a plus Experience with industry
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15.05.2021, 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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, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation