193 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Technical University of Munich in Germany
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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 to build
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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Bewerbung, abrufbar unter https://portal.mytum.de/kompass/datenschutz/Bewerbung/. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent
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of machine learning approaches. Defining standards and databases for experimental protocols and biosystem designs will be of critical importance for the establishment of the Munich Repository of Standardized
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Freising, Germany Tel. +49 8161 71 3961 patrick.bienert@tum.de https://www.mls.ls.tum.de/en/cropphys/home/ www.tum.de The position is suitable for disabled persons. Disabled applicants will be given
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Aerospace Center, with the German BMBF International Future Lab AI4EO, and with the Munich Data Science Institute, where Prof. Zhu is also leading. Your mission This position is funded by the ERC project
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inspiring international environment and to learn from some of the world's leading researchers · Development of own international industrial and academic network · Independent working
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research and work environment within a young and dedicated team · An exceptional opportunity to experience research in a highly inspiring international environment and to learn from some of the world's
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be achieved, for example, by developing learning algorithms and bringing together different sensor systems in the vehicle and on the road. Where you put the focus - that is up to you. The concepts