47 condition-monitoring-machine-learning-"Multiple" PhD positions at Technical University of Munich
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or for multiobjective optimization problems. Implement the developed algorithms (e.g., in Python) and evaluate their practical performance on artificial and/or real-world data. Teach tutorials (in English) for
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, which will supplement the research training with outstanding opportunities for career development, continued education, and life-long learning. We offer excellent working conditions in a young and
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forest edges on biophysical conditions and regeneration in the forest interior” funded by the German Research Foundation (DFG). About the position The Professorship of Earth Observation for Ecosystem
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is available from 01.11.2025. About us The Chair of Agrimechatronics (Prof. Oksanen) studies especially Intelligent Machines for Agriculture. The research themes include topics like tractors and other
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private machine learning: Differential privacy (DP) is the gold-standard for privacy protection, but deep learning models trained with DP suffer from privacy-utility trade-offs. You will develop novel model
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group, a multinational insurance company. Tasks Your duties will include: Literature research Designing, implementing, and evaluating novel machine learning approaches to detect building attributes from
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the expansion phase We offer We offer excellent working conditions within a young and interdisciplinary team. In an open and collaborative environment, you will have the freedom to develop and pursue your own
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to edible tissues. In doing so, we can boost the nutritional quality of crop outputs, even under suboptimal climatic conditions. As a PhD student in this group, you will directly contribute to these aims
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machine learning technologies. This PhD position is part of the project “Artificial Intelligence for the automated creation of multi-scale digital twins of the built world”, which is funded via the Georg
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, C++, etc.) Knowledge of machine learning, data mining, or related fields Excellent communication skills and ability to work in a collaborative team environment Interest in social science research