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over 56,000 square foot of dedicated, state-of-the-art facilities. BI provides some of the most diverse research environments at U-M. Many grad students, postdocs, visiting scholars from various
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of engineered tendon models Quantify and analyze inflammatory signaling in tendon fibroblasts Investigate ECM stiffness effects on cellular behavior and gene expression Develop fluorescent reporter systems
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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/reloading models for studying musculoskeletal adaptation Experience in mouse dissections and surgery Prior work in animal/tissue imaging, including microcomputed tomography analysis, as well as histological
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clinically validate innovative predictive models utilizing AI and machine learning; test cadaveric anatomy study implementation Complete Data collection and finalize evaluation of AI predictive models
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ranges from reprogramming intracellular signaling of cells to modeling whole joint mechanics to understand and modify these systems at their respective length scales. Our research focuses on engineering
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Drosophila melanogaster and mammalian cells as our model systems. Our lab has pioneered innovative cell biological approaches, enabling unprecedented visualization of individual clock mRNAs, genes, and
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molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu Mission Statement Michigan Medicine improves
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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
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-driven (i.e., prostate and breast) cancers. They will also assess druggability of these genes using novel inhibitory/degrader drugs in preclinical models. The individual should be familiar with routine