38 modelling-complexity-geocomputation Postdoctoral positions at University of Minnesota
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our ongoing research, our department members contribute to the growing understanding of how students learn; through their teaching and outreach, we model the implementation of evidence-based educational
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(Including histone 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
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-activated immunogenicity, scaled-up vector production, and assessment of AAV efficacy in pre-clinical animal models. The goal of our research is to ensure advancement of gene therapy treatment for patients
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tissue culture, experimental virology, transcriptome analyses, and immunologic assays. Prior experience conducting relevant experiments using in vitro and in vivo models of infection, such as flow
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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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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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other lab members to design, plan, and implement complex research experiments within the context of a biological research plan (80%) Communicate the findings of scientific studies in publications and at
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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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-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