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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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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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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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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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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
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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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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
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behaving mice, and advanced modeling + machine learning analyses. Please read more about our research at www.apostolideslab.org . Key questions we want to answer are: How do neural circuits extract
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, induced pluripotent stem cell culture/differentiation, utilization of microfluidic devices, immunohistochemistry, and mouse models of disease. Opportunities to become involved in clinical research projects