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% of which are female), among them 270 professors (32% of which are female), who teach and carry out research in a wide range of disciplines. We have a long established tradition in interdisciplinary
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of learning from mistakes, with support available at any time. State-of-the-art equipment. An on-site cafeteria with daily meal options. For the preparation of the Master’s thesis, no remuneration is paid. We
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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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Sciences Faculty of Mathematics Further information Hochschule Offenburg Department of Electrical Engineering, Medical Engineering and Computer Science: Institute for Machine Learning and Analytics Institute
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
research topic, which is assigned to one of the chairs offered , also allows doctoral students to contribute their own institutional experience. A structured and international learning environment is
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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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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
of the research areas offered , also allows doctoral students to contribute their own institutional experience. A structured and international learning environment is provided to prepare students for the doctoral
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practical setting. You will learn about our structures and processes in the scientific and technical business areas and be entrusted with responsible and varied tasks. Use this springboard to launch your
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially