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Field
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environment for doctoral researchers interested in longitudinal and mixed-methods approaches to language learning and mobility.
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The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology
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research excellence and the ability to pursue a doctoral degree at TUM Documented experience in machine learning and/or natural language processing with deep knowledge of LLMs, RAG and agent-based AI systems
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-of-the-art methods such as optogenetics, connectomics or machine learning. Activate map To activate the map, click on the "Show map" button. We would like to point out that data will be transmitted
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and Resources. We work on education and research in mechanical engineering, civil engineering and industrial design engineering. Together, we learn by making, creating, and innovating, addressing
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English. Additional requirements good proficiency in English, spoken and written good proficiency in Swedish, spoken and written good computer skills Meritorious for the position are: demonstrated
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environments where terrain can change abruptly. However, formally certifying these opaque learning-based components demands impractical resources, presenting critical safety assurance challenges and delaying
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-machine interaction, assistive technology, virtual and augmented reality, prosthetics, and wearable devices. In this PhD project, you will focus on mechanical haptics using liquid crystal polymer and liquid
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Are you eager to push optical atomic clocks to new levels in a lively, international research group? Do you enjoy creating complex machines that have never existed before? Do you want to explore
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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and