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mechanisms • Extensive hands-on experience with murine models of liver injury, fibrosis, and regeneration, including tissue dissection and downstream analysis • Proficient in flow cytometry, including high
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expertise in T cell and dendritic cell biology • Extensive hands-on experience with mouse models of infection, inflammation, and immune memory • Proficient in flow cytometry, including high-dimensional and
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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researcher for a 2-year, collaborative project funded by Minnesota’s LCCMR Program titled "Climate change and management effects on lake methane". The position will be based at the University of Minnesota
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-tuning DNA sequence/genomic/omic large language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimer’s disease (AD). You will have access to state-of-the-art
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experimental and computational methods for integrated multi-omics studies. About the Role · Lead independent research projects investigating somatic mosaicism in various tissue types of human or mouse models
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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during pregnancy, and in animal models of obesity and diabetes during pregnancy and assess the metabolic outcome of the offspring across lifespan. Responsibilities Include: Research- 70% • Conduct animal
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biology, and tissue engineering to join our team. In this role, you will have the opportunity to contribute to broad research projects focused on cardiovascular disease modeling and cardiac regeneration
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modification and DNA methylation) and 3D genome organization studies on the interplay between EBV infection and host interactions. Using in vitro B cell transformation model and 3D organoid to understand