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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Freising Date: Sep 16, 2026 Thesis - Sensory Analytics and Technologies (all
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production of rockets, stem cells to fight blood cancer, optics, or lightweight components. In particular, tabular and image data are recorded during production. In the context of the thesis, DL - as
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Processes« »Analytics and Computing« What you contribute You have completed your science degree with excellent results. You show commitment and enjoy taking the initiative. Your enthusiasm and curiosity
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electrochemical impedance spectroscopy (EIS) data. The objective is to build a model that processes EIS measurements and assigns cells to the appropriate sorting category. The sorted cells are subsequently
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classifying the obstacle into typical dynamic obstacles like pedestrians, bikes, and vehicles based on LiDAR and/or camera data, predicting a realistic and/or conservative movement corridor and integrate this
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challenge current notions of transparency, auditability, and certification. While Model Cards and Data Cards are emerging as best practices, they are insufficient for complex, distributed AI services
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from the Campus South of KIT, your opportunity awaits to become part of our renowned research institution. Be part of change Collection and preprocessing of demonstration data for tool-delivery
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for a humanoid robot Development of methods for visualizing sensor and environment data for the operator Testing of low-latency control in human-centered environments (e.g. elevator buttons, doors
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filtering approach and a pointcloud matching algorithm. The filtering approach should utilise camera-based classifications, from a sperate module, in the pointcloud data to distinguish different object
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physics, microsystems technology or a comparable discipline programming skills in Python (ideally for data anlysis, fitting and plotting workflows) good language skills in German or English enjoyment of