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Your Job: By specifically controlling the oxygen content in complex oxides such as LaSrMnO3, it is possible to create completely new materials that can be either antiferromagnetic insulators
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the manufacturing of customer-specific solutions and prototypes. The department »Opto-mechatronical Components and Systems« develops technologies for assembling and integrating complex, miniaturized and highly
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School of Engineering and Design and maintain strong links with the computer science community. One of our key research areas is the design and operation of intelligent networked production systems
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domain are inherited by biometric systems. Such challenges are related to miniature deep learning networks, explainable decisions, and domain adaption. Our team is offering several open thesis positions
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products and processes. The Competence Center »Energy Management and Control« develops innovative solutions for the economically and technically optimal operation of highly complex energy systems. We develop
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storage Innovation in the Machine Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website
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and to be able to use all algorithms in the real vehicle. By taking a particular look at complex scenarios, such as driving dynamic limits, unstructured environments or problems from ethics, we extend
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programming skills in a higher programming language (e.g., Python, Java). You already work with traffic simulations and digital twins, or they spark your interest. You break down complex topics by approaching
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Learning in Earth Observation (ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University
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). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together