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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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motivated PostDoc candidate to join our interdisciplinary team at the intersection of artificial intelligence, natural language processing (NLP), and medical informatics. Your research will focus
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of the most challenging to treat bacterial pathogens. The position is part of a newly funded international consortium that brings together experts in mycobacterial genetics, high-throughput phenotyping
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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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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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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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) system to explore novel research problems during the laser surgery. Developed OCT will be used as a visualization tool for the optical processes induced by ultrashort laser pulses. Your profile PhD degree
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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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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