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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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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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-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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working with preclinical models • Experience in one or more of following methods: in vivo behavior, small animal surgery, RNA, DNA, protein extraction and measurement, cell culture, histology
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stratification dynamics. This person in this position will also assist with the development of a model focused on the production of methane by methanogens and degradation by methanotrophs. The postdoctoral
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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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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The research will focus on hybrid AI modeling and agroecosystem sustainability, in collaboration with the AI-CLIMATE
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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
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scholars specializing in dynamical systems modeling of neuronal networks for work on a BRAIN Initiative-funded R01 in collaboration with Gordon Smith at the University of Minnesota and Audrey Sederberg
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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