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models. By utilizing biobanks of lung biopsies and established animal models, LifeLUNG will apply advanced machine learning and AI-driven deep sequencing to identify key immune factors and gene targets
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development, while equally targeting family functioning and social stressors. We are looking for a doctoral candidate with the following qualifications: - You obtained a Master-degree in the domain
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ability to work effectively across disciplines such as engineering, biology, and clinical research. A strong scientific track record, evidenced by peer-reviewed publications and presentations
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quantum engineering. The ideal candidate will have a solid track record of experimental research, preferably in low-temperature condensed matter physics, quantum physics, quantum engineering, or related
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Sciences, Stem Cell Biology, Developmental Biology, Molecular Biology, or related field. Track record of high-quality peer-reviewed publications. Solid experience with mammalian stem cells, gene regulation
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group itself has a long track record of combining excellent fundamental academic research with industrially relevant applications, leading to dissemination in both highly ranked academic journals as