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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
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control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
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. 2022, Yuan et al., In Review, Xiao et al., In Review). Chromatin Accessibility: Investigating the dynamics of chromatin accessibility in clock-controlled genes (Yuan et al., PLOS Genetics, 2024, Chen et
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. vector design and generation, genetic murine models, and/or genome editing), a strong understanding of physiology and disease models, as well as a track record of innovative scientific contributions
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for three references. Job Summary The Kaczorowski lab at the University of Michigan is recruiting a post-doctoral scholar to study system genetics analysis in Alzheimer's Disease, including collaboration with
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resistance, utilizing human and murine cells, orthotopic models, and Genetically Engineered Mouse Models (GEMMs). We are seeking a motivated and hard-working scientist with strong project leadership and
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profession. Work at Michigan and become a victor for the greater good. Responsibilities* Support the organization and annotation for our large scale genetic and genomic data cohort Quality-check biomedical
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molecular biology topics, including neurodevelopment and neurodegeneration, glial biology and bioinformatics. Using a combination of single-cell omics and genetic tools, we particularly focus on exploring
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interdisciplinary lab focuses on investigating genetic and epigenetic changes in traumatic brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic