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Background Cardiovascular disease (CVD) remains the leading cause of death worldwide and exerts a disproportionate burden on individuals living with type 1 diabetes (T1D). Despite advances in care, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the...
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neuroscience, educational psychology, computer science, or a related field The ideal applicant will have demonstrated exceptional research potential through their thesis work and share our passion for advancing
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qualified women to apply for the position. Your tasks #designing, planning and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques #developing computational codes
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme "Productive Biofilm Systems" aims at, in close collaboration with a partner group at
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close collaboration within the ChemBion training group. We will provide a structured 3-year cutting-edge Ph.D. student training program in and beyond the fields mentioned above. REQUIREMENTS: We are
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device fabrication; knowledge in neuromorphic computing General Requirements: above-average university degree achieved in a short study period willingness and ability to think beyond the boundaries of your
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dysfunction Data collection, analysis, and interpretation using cutting-edge imaging and computational tools Presenting research findings at conferences, lab meetings, and through publications in high-impact
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission