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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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human cancer based on their cancer driver gene mutations. A new project in the lab is aimed at understanding the mechanism of natural killer mediated anti-tumor effects in LKB1-mutant lung adenocarcinoma
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, including super-resolution microscopy, and correlative light-cryo-electron microscopy (cryo-CLEM), to elucidate key steps of viral life cycle and the mechanism of virus restriction by host factors. Highly
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infection and explore strategies to enhance mucosal immunity. Using a combination of in vivo animal models and ex vivo 3D cellular systems, we study airway-specific immune mechanisms that influence
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parameters; Previous experience in metabolomics and lipidomics highly desirable; Experience with long-acting antiviral agents desirable; Strong publication record during their PhD thesis; Draft scientific
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: A PhD or an equivalent degree in biochemistry, cell biology, neuroscience, or a related biology field is required. Experience in