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-solving, and collaborative mindset Highly desirable Experience with distributed training or ML systems Knowledge of privacy-enhancing technologies and parallel programming Experience with multilingual AI
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, entitled "Patient-specific hydrogelbased corneal augmentation for vision restoration" is to restore the vision of patients by using an advanced optical system capable of preparing and processing the cornea.
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maintenance of neuroinflammatory processes and identify molecular targets that could serve as the basis for future therapies. To that end, we combine human studies with experimental (gnotobiotic) murine models
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role of drug transporters and drug-metabolizing enzymes in these processes. Both transporters and enzymes are influenced by multiple factors, including naturally occurring genetic variants, which
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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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combining behavioral measures with neurophysiological processes, using electro-encephalography (EEG), functional near-infrared spectroscopy (fNIRS), and eye tracking.
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
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of physical activity and sports in school settings. Our research group adopts a methodological approach combining behavioral measures with neurophysiological processes, using electro-encephalography (EEG
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augmentation for vision restoration" is to restore the vision of patients by using an advanced optical system capable of preparing and processing the cornea. In this project, the postdoctoral candidates will be
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computer scientists, experimentalists and clinicians. You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your scientific interests. Access