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cutting-edge systems design, AI at the edge, optimization, and shaping future mobile networks, this is your chance to dive in. A strong focus will lie on the development of optimization algorithms
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principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major
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experience in radar research, developing signal processing algorithms for long-range ultra-broadband Synthetic Aperture Radar systems and short-range FMCW systems. In recent years, breakthroughs in
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at the Faculty of Engineering and contribute to cutting-edge research in radar systems. The radar group at BTH has extensive experience in radar research, developing signal processing algorithms for long-range
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topology, algorithms and complexity, combinatorics, differential geometry and general relativity, dynamical systems, mathematical physics, mathematical statistics, number theory, numerical analysis
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knowledge and skills through interaction with their surrounding environment. Embodied AI requires tools, algorithms, and techniques to cope with real-world challenges including but not limited to uncertainty
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- integrating PET/CT images, radiology reports, and clinical data - to develop more accurate and trustworthy diagnostic tools. You will join a dynamic, interdisciplinary research group with extensive
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environment. Embodied AI requires tools, algorithms, and techniques to cope with real-world challenges including but not limited to uncertainty, physical constraints, scarce data, and high variability. In
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position in our Trapped Rydberg Ion Project. The candidate will contribute to cutting-edge research on trapped ion experiments, focusing on the implementation of fast quantum gates and quantum algorithms
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for efficient quantification of spatial distribution in electron tomograms? Examples of work that you may conduct during your postdoc: Algorithm development and implementation (e.g. in C++). Machine learning