193 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Technical University of Munich
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application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information of the TUM. Technical University of Munich, Institute
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systems in a targeted manner. An important aspect of this effort is the accurate organization, harmonization, and exchange of research data that will fuel the application of machine learning approaches
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. Jörg Ott
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related discipline. • Strong expertise in machine learning, spiking neural networks, and computer architecture. • Excellent programming and research skills. • Interest in translational research and
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civil and military operations“ and „operational analysis and evaluation“. The combination of these research focus areas provides an ideal platform for interdisciplinary research in simulation and
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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(www.cda.cit.tum.de ). Accordingly, we are currently searching for a Ph.D. student to join our team on AI for Chip Design! Our Research In our group, we create, modify, and adapt AI methods (such as Machine Learning
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of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in written and spoken German and
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evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine