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obtained scRNA seq data from our DMG models and are seeking a qualified postdoc with expertise and data analysis and bioinformatics. The candidate is expected to design and perform experiments to accomplish
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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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with working on a new Ford-sponsored project to develop, implement and validate a model for die steel life prediction for advanced automotive high pressure die castings. The position will be co-located
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using molecular simulation and machine learning methods. This position offers the opportunity to work at the intersection of computational methods and advanced material discovery in a highly collaborative
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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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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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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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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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cell lines, and keep good record for cell line bank Develop and maintain primary tumor and/or immune cell culture or organoids from patients and mouse models Technique: Cell culture including 2D and 3D