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vivo adipocyte/adipose tissue transplant/xenograft models to study adipocyte-matrix interactions in artificial and tissue-derived 3D culture systems, with both in vitro and in vivo applications. We are a
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Apply Now Job Summary This position would be joining the programming team at the Michigan Clinical Outcomes Research and Reporting Program (MCORRP) at Arbor Lakes. Their work will involve artificial
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anticipate future events through the use of artificial intelligence (AI). The team member may also participate in Oracle Campus Solutions system project implementations in partnership with central Information
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involve artificial intelligence-based data abstraction in the areas of pulmonary embolism and anticoagulation. Dr. Colin Greineder will manage this hires work related to pulmonary embolism while Dr. Geoff
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Reporter, etc.) and artificial intelligence tools (e.g., ChatGPT). Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work
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other MPathways systems; knowledge of UM organizational structure or similar experience if external to UM. Experience in a university or higher education setting. Experience with using artificial
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Qualifications* Master's or PhD degree (completed or expected soon) in computer science, computer engineering, or a closely related discipline Experience in machine learning and/or artificial intelligence
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bioinformatics techniques to unify large and disparate data sets to develop realistic multiparameter models of tumor response and normal tissue injury; development and implementation of ?big data? and artificial
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code for image processing and analysis, including single cell imaging and tracking Knowledge of artificial intelligence and physics-based computational models for cell behavior Experience with cell
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/adipose tissue transplant/xenograft models to study adipocyte-matrix interactions in artificial and tissue-derived 3D culture systems, with both in vitro and in vivo applications. We are a tight-knit