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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
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interdisciplinary, and together we contribute to science and society. Your role The Developmental and Cellular Biology Group (led by Prof. Jens Schwamborn) at the Luxembourg Centre for Systems Biomedicine utilizes
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
of this project requires the design, development, and training of an artificial intelligence algorithm capable of automatically segmenting the bony structures of both healthy and fractured tibial plateaus
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on supervised learning using ground truth aligned with frame-based sensors, which inherently limits their temporal precision. Meanwhile, self-supervised methods—such as those based on contrast maximization—remain
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) For further information about the role, please contact Prof. Dr. Jean-Sébastien Coron, Head of the Department of Computer Science, Email: jean- Your profile A PhD degree in Computer Science or a closely related
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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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theses is highly encouraged For further information, please contact Prof. Iris Behrmann: Your profile A PhD in Biology, Biochemistry, Biotechnology or BioEngineering (or equivalent) Solid background in
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interdisciplinary, and together we contribute to science and society. Your role You will join the recently established Chemical and Molecular Neurobiology group led by Associate Prof. Ivana Nikić-Spiegel at the LCSB
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interdisciplinary, and together we contribute to science and society. Your role The successful candidate will join the recently established Chemical and Molecular Neurobiology group, led by Associate Prof. Ivana
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projected new Master's programme and to teach within the doctoral and lifelong learning programmes of the university For further information about the role, please contact: Prof. Dr. Boris Traue, Director of