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Quality”, we focus on data-driven optimization of production processes with the help of machine learning and artificial intelligence. Laser processes enable highly precise and flexible material processing
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of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
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• Experience with machine learning frameworks (e. g. TensorFlow, PyTorch) and Explainable AI (XAI) • Experience with machine learning and/or AI-based methods for data analysis • Experience in processing and
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: machine learning, data analysis, energy technology Experience with common deep learning and data analysis frameworks (e.g., PyTorch, Numpy, Pandas, sklearn, etc.) Independent, structured, and reliable way
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of research focus include machine learning/learning analytics, multimodal assessment, adaptive learning in online settings, and the role of self-regulation in learning with AI. Close networking with
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05.05.2025, Wissenschaftliches Personal At the chair of Data Analytics and Machine Learning at the Technical University of Munich (TUM), a full position will be available from May 2025 in
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-Computer Interaction (salary group W3) at the Department of Digital Humanities and Social Studies (DHSS). This is a full-time and permanent position to be filled by the earliest possible starting date. We
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Biology, Computer Science or related studies) Experience in Python with PyTorch (or equivalent) programming Experience in sequencing data analysis Basic knowledge in machine learning Experience with linux
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the fields of Quantum Machine Learning, Quantum Simulation, and Quantum Optimization. These solutions are made available to the German economy as digital services, while targeted knowledge transfer ensures
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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently