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pointcloud maps of the environment. In large environments, creating and managing those maps is a challenge that needs to be solved. To create a global representation of an environment of a robot, multiple
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and evaluation 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
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prototypically implemented to identify innovations in the field of these technologies in a large patent dataset in addition to evaluating them with respect to their relevance. In the last step, it will be
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be part of the group »Slewing Bearings« at our site in Hamburg. At present, our team consists of 10 employees and several students. We focus on large slewing rings. To meet the highest reliability
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at the Fraunhofer ITWM work on projects in high-tech and low-tech companies, in small and medium-sized enterprises as well as in large-scale industry - regionally and internationally. You would like to work with us
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) Electrode preparation via polishing Close collaboration with internal and external cooperation partners Detailed evaluation and procession of measurement data Your Profile: Enrolled in a master’s program in
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transition and gain practical experience during your studies? The "laser process technology" and "laser system construction" groups deal with a large number of different applications from laser technology to
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University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data to determine the real-life effectiveness
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and evaluation 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
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and evaluation 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