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of computer vision and deep learning for advanced air mobility. Immerse yourself in innovative research fields, including: 2D semantic/panoptic (video) segmentation and object recognition 3D semantic/panoptic
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In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells
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candidate will show in-depth methodological and applied knowledge in the field of machine learning, especially deep learning, experiences in the area of uncertainty quantification, generative and Bayesian
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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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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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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