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. The Leibniz-LSB@TUM comprises a unique and world-leading research profile at the interface of Food Chemistry and Biology, Chemosensors and Technology, and Bioinformatics and Machine Learning. Leibniz-LSB@TUM’s
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to electron transport theory, machine learning, and molecular dynamics simulations, providing opportunities for students to acquire a broad range of skills. The close interaction with the experimental group
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for Astronomy in Germany. The StarForML group focuses on developing robust machine learning tools for the evaluation of star formation observations. We aim to gain new insights into how star formation progresses
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, you will be an active member of our "Simulation and Data Lab for AI and Machine Learning in Remote Sensing", which aims to strengthen interdisciplinary research by bridging satellite remote sensing
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, Machine Learning Frameworks, ROS etc.) are needed and demonstrated expertise in at least one of neural networks or intelligent robotics is needed for these positions. Prior publication in a relevant AI
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ENGAGE Network at TUM and GIM Robotics. About the ENGAGE Network Mobile working machines (MWM) are critical to industries like construction, mining, and agriculture, and key to Europe’s sustainability and
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the art tool built upon the scientific machine learning environment (“SciML”) in the modern “Julia” programing language for high-performance symbolic-numeric computation in scientific computing and
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., experience sampling, virtual/mixed/extended reality, machine learning, artificial intelligence) are desirable. The professorship, integrated into the Chair of Personality and Educational Psychology, is
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fine-tune machine learning and deep learning models to extract meaningful patterns and predict metastatic behavior Collaborate closely with experimentalists for mechanistic dissection of multimodal
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location Cottbus-Senftenberg and increase its visibility. Through innovative research and new teaching and learning formats, the BTU is shaping the future: with scientific findings and practice-relevant