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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy
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executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi
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-data interaction, and machine learning, making it a natural home for advancing data interaction in hybrid care. This specific position is in close collaboration with Catharina Hospital Eindhoven and
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with programming and scientific software development; experience with C++ is an advantage. Experience with machine learning, 3D city modelling or urban reconstruction techniques is beneficial. You are
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dynamics. You have experience with programming and scientific software development; experience with C++ is an advantage. Experience with machine learning, 3D city modelling or urban reconstruction techniques
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for workers in hazardous recycling manufacturing environments, embedding participatory co-design, digital twin modelling, and mixed-reality training to shift from machine-centric to human-inclusive workplaces