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Orchestration and documentation of Deep Learning experiments Processing and visualization of large amounts of data Review of relevant literature and data Testing software and frameworks What you bring
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learning models Implementation of deep learning Improvement of models, e.g. in terms of efficiency, training performance or inference behavior What you bring to the table Enrolled Bachelor's/Master's student
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analysis, search and recommendation of music data. The main areas of responsibility include the following: implementation/porting of algorithms from the fields of deep learning and audio signal processing
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analysis, search and recommendation of music data. The main areas of responsibility include the following: implementation/porting of algorithms from the fields of deep learning and audio signal processing
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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integration, and the development and application of deep learning models. A solid understanding of hybrid modelling concepts, particularly the integration of process-based models and machine learning
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researched and developed that will be used in current and future key topics. Become a part of our team and join us on our journey of research and innovation! What you will do Test new deep learning
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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learning new practical techniques, approach unfamiliar topics with curiosity and structure, and quickly gain a deep understanding through analytical thinking. What you can expect With our strong links
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on three areas: strategy&technology (in particular deep tech such as AI, robotics, biotech), strategy&global contexts, and the theory of the firm (see www.msl.mgt.tum.de/simanagement ) We do not only