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promising alternative to classic methods of process optimization due to its adaptive decision making and data efficiency. In this thesis, a BO algorithm for the optimization of laser processes is to be
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environment. We are creative, we shape technology, we design products, we improve processes, we open up new paths. Our clients value our modelling competence, algorithms and software products. We
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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
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use dynamic simulations to carry out system studies that depict the future grid. To meet the resulting challenges, we develop new control algorithms and analyse their effect. These include, for example
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algorithm development? Our team "Data-based Management of Energy Systems" deals with the economic, technical and regulatory requirements of decentralized energy systems and decentralized supply concepts, e.g
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of algorithms such as Q-Learning, A2C, PPO, Rainbow deep understanding of neuronal networks as well as LSTM and transformer architectures strong commitment and ability to work collaboratively in a team proactive
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of AR glasses that support local AI models Integration of additional sensor technology to enable stroke detection Development of algorithms and application of AI models to recognize stroke symptoms
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algorithm development? Join us to explore innovative technologies and make a real impact in the field of energy systems! Together we develop innovative solutions and test your tools with hardware integration
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”. The “Computational Methods” group focuses on the design and simulation of laser beam sources and laser processes, using numerical methods and modern artificial intelligence algorithms. To strengthen the team, we
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algorithm development? Join us to explore innovative technologies and make a real impact in the field of energy systems! Together we develop innovative solutions and test your tools with hardware integration