35 computational-model Postdoctoral positions at University of Minnesota in United States
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with mouse models of neurodegenerative diseases, demyelinating conditions, and brain tumors • Expertise in flow cytometry, including high-dimensional (spectral) flow cytometry for immune phenotyping
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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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, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations
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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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induced pluripotent stem cells derived cardiac organoids for disease modeling and gene editing. This research aims to deepen our understanding of dystrophic cardiomyopathy and develop novel therapeutic
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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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-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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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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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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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