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Field
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dysfunction. We combine genetic, molecular, and physiological approaches to identify and dissect the pathways that mediate these effects. The successful candidate will conduct original research using the model
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. Developing predictive models for precision oncology: We leverage large-scale multimodal datasets, including molecular profiling, clinical records, imaging, and longitudinal treatment histories, to develop
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-herpesviruses, particularly Epstein-Barr virus (EBV), Kaposi sarcoma-associated herpesvirus (KSHV), and rhesus lymphocryptovirus (rhLCV). Our work integrates molecular virology, vaccine engineering, immunology
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models of lung cancer development. Establishing and manipulating primary-cell, organoid, and other ex vivo model systems. Performing molecular and cellular assays, flow cytometry, tissue processing
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team environment Basic molecular biology expertise and familiarity with imaging microscopy techniques Previous experience working with animal and/or cell-based experimental models Previous first author
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mechanics, molecular modelling, and/or quantum thermodynamics would also be beneficial. Evidence of quality publications in reputable refereed journals and experience presenting at conferences. Evidence of
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mouse models, human samples, and state-of-the-art immunological, molecular, and computational approaches. You will work within a collaborative and multidisciplinary environment that integrates immunology
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cell culture and 3D in vitro models; position the Celvivo system or similar rotational system. Experience with secretome/secretomics, extracellular vesicles/exosomes, proteomics, or related molecular
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will focus on the acoel worm Hofstenia miamia, the laboratory model system studied in the Srivastava Lab. The research will combine lineage tracing, gene expression studies, chromatin profiling to ask
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-funded research program focused on decoding cardiomyocyte subtype dynamics and molecular mechanisms underlying heart failure progression. Led by Didi Ren, Ph.D., Principal Investigator, the lab integrates