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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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enhance our contribution to society. Responsibilities* The successful candidate will work on projects performing analysis of PET neuroimage data, including kinetic modeling and multimodal data synthesis
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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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for research is extracted from our electronic health record (EHR) data and numerous other data sources into our Research Data Warehouse (RDW), a secure and compliant research database. Within the RDW, data
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required. Using Thermo-Calc software and in-house-developed Matlab codes to model solidification segregation, homogenization/phase dissolution during heat treatment, precipitation, and yield strength
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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