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Field
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types, their content, and also the relationships between the individual objects. To apply for this position, the candidate should possess in-depth skills in programming and hands-on training and
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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into account the distance to the currently failing solution. Developing such a methodology requires a formalization of the design space and the distance between models as an objective function. To apply
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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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skills, including experience in communicating across discipline boundaries. Fluent command of the English language Desirable qualifications: Track record of publications at top-tier conferences and high
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consortium-based tasks related to the 6G-Life project. Additionally, the methods and findings developed throughout the PhD track will be scalable and applicable to other research projects in MIRMI
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researcher in the project: As doctoral researcher in the project your main task is to contribute to achieving its objectives. You are required to conduct qualitative social science research, including
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a similar subject and ideally have a proven track record in science. Our Research Fields We cover a broad range of topics in our work, but have a particular focus on the development of software and