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of autonomous machines Multirobot sensor fusion and motion planning Empirical research, technology piloting, validation, and industrial-scale deployment have an important role in this position. If successful, you
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their repertoire. If they encounter text written in a language they have not seen before, they label it with what their algorithm deems the closest match. The results of such behavior can vary from the indicated
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the development of innovative mathematical and computational algorithms. As our new Postdoctoral Researcher, your main responsibilities will include: developing and implementing advanced mathematical and
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to migration-related diversity. The position contributes to advancing methodological innovation through the creative and reliable use of machine learning, AI, and other algorithmic techniques in qualitative
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integrated circuit design, which currently emphasises microwave engineering, mixed-mode circuits, and sensor interface electronics, by introducing fresh and bold new research ideas and perspectives
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of computer science represented at the department (algorithms, networks, software engineering, AI, data science) Experience of working in highly interdisciplinary environments Experience in designing
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teaching merits and, if necessary, a teaching demonstration. Additional evaluation criteria for this position are: Experience in some area of computer science represented at the department (algorithms
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Sciences. The research work will focus on developing a scalable, robust positioning framework by integrating GNSS and emerging LEO-PNT signals with distributed AI and multimodal sensor data. The researcher
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collaborators. Your work will develop algorithms, inference methods, and frameworks to adapt models from training data to test environments, which is necessary to resolve distribution shifts, hidden confounders
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be adapted to mechanical sensors in the quantum regime for various applications. Your role The experimental work in all these projects involves design of the samples and of the measurement setups