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Field
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integration of energy systems data and models and apply data science methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using
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— localization and mapping (e.g., SLAM), motion planning, and semantic perception — focusing on multimodal sensor data fusion (LiDAR, RGB-D, IMUs) for robust real-world performance. Research areas include
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, Google.org, SAP, Merck, TUM Klinikum, Holtzbrinck). Diverse research topics and technologies, including: Conversational Semantic Search, Question Answering Systems, Complex Information Extraction. Fact
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differentiable algorithms for machine learning; Programming language implementation for high performance computing; Programming language semantics and foundations. Your focus will be on area 2, with your research