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-making that benefits from quantum-derived supervision signals. This goal can be achieved by addressing the following two scientific challenges. Scientific challenge 1: Designing an effective quantum
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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pilots. The role combines experimental device R&D, modelling-supported design decisions, and rigorous measurement work. You will work closely with both academic and industrial supervisors in a small
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foundations in waveform design and advanced signal processing. In particular, energy-efficient precoding algorithms have been developed for distributed MIMO systems and are currently validated through numerical
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approaches in cross-border contexts, focusing on crossbenching models, low-threshold urban transformation, and the relationship between public policymakers and spatial design. Areas of responsibility: Research
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established ZALF's Innovation Center for Agricultural System Transformation in Giessen. The Innovation Center for Agricultural System Transformation (IAT) is a comprehensive strategic expansion of ZALF
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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The Bikard lab at Institut Pasteur in Paris is seeking to hire postdoctoral researchers. We are investigating bacteria / bacteriophages interactions, and the genetic innovation that happens
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, publication activities and ideas for a course design of an introductory course to inclusive education at MA - level (maximum 2 pages each, alternative formats welcome) Summary of recent research and projects
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excellence with character development, leadership training, and practical skills. Our students pursue: University of London degrees, designed by world-class institutions such as LSE and King’s College London