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, Ann Arbor, MI are in search of an exceptional Animal Models Core Specialist to provide full oversight and management of our animal models core, designated animal research spaces and assist with high
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. Responsibilities* Advance the Frontiers of Computational Science: Lead the development of next-generation, high-fidelity predictive models for multi-physics systems, with an initial focus on plasma modeling
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, bioengineered human vascular grafts and animal model studies, we aim to gain mechanistic insights into the disease pathologies and ultimately develop treatment strategies. Mission Statement Michigan Medicine
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models, handouts, and equipment. The position requires experience using compound microscopes and focusing on various prepared slides. Each position is filled on a per semester basis. The A&P prep attendant
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regression, logistic regression, survival analysis, mixed models w/repeated measures, multi-level modeling, & conjoint analysis. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode
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techniques in molecular biology, cell biology, biochemistry, and genetics. Experience working with various model systems: 2D, 3D (e.g. organoids), animal models etc. Experience with standard bioinformatics
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bioscience data. Design, implement, and validate computational models and innovative algorithms to address core challenges within MCAIM. Collaborate with interdisciplinary teams across mathematics
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. Leverage expert knowledge of dimensional modeling (e.g., Kimball methodology, Star and Snowflake schemas) to build logical and physical data models that support reporting, analytics, and AI/ML use cases
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pediatric clinical documentation improvement (CDI) space. Utilizing numerous types of data, both modeled and disparate, this analyst will produce relevant, timely analytics for presentation to management
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group. This group consists of 90+ hospitalists in addition to 30+ advance practice providers serving across 10 unique services providing a variety of care models. We are interested in candidates who will