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, arrest record, or any other factor where the item in question will not interfere with job performance and where the employee is otherwise qualified. The University of Michigan agrees to abide by
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are the first line of customer service for all calls and requests directed to the department. They are a crucial component of the operation, and therefore have to be a reliable and detail oriented individual
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are the first line of customer service for all calls and requests directed to the department. They are a crucial component of the operation, and therefore have to be a reliable and detail oriented individual
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, and range from working within branded templates to generating unique campaigns for use across digital channels and print. Make technical decisions regarding such design elements as line, shape, color
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information from electronic health records Conduct systems biology research and analysis for high dimensional data Required Qualifications* PhD degree or higher in computer science, biomedical informatics
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for metabolic diseases including diabetes. We utilize sophisticated 2D and 3D human and murine in vitro cell culture models, advanced cell imaging and analysis, bulk and single cell RNA sequencing, and murine in
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(e.g., RNA-seq, ChIP-seq, ATAC-seq, proteomic profiling) to study transcription factor dependencies in cancer models. They will also conduct drug sensitivity screenings (IC50/EC50) and validate screening
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campaigns, web content, social graphics, brand elements, and other collateral. You will report to the Director of Marketing & Communications. The Ford School is one of the nation's foremost policy schools
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, collaborative research hub and play a role in pushing technological boundaries in multimodal and 3D bioimage analysis. You will report directly to both Dr. Shyamal Mosalaganti and Dr. Herman Fung and will work a
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of automated computational workflows. Expertise in Large Language Models (LLMs) for biomedical data analysis. Demonstrate experience managing and analyzing large-scale Electronic Health Record (EHR) datasets