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research that together enhance our contribution to society. Responsibilities* The bioinformatician will be responsible for performing integrative analysis of large, multi-omics data sets from humans and from
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at the University of Michigan School of Public Health . The Network members employ rigorous quantitative approaches and leverage access to multiple large databases to address pressing substance use policy knowledge
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brain machine interfaces as a result of their biocompatibility, recording capabilities, and their ease in neurosurgery. This project will involve fabricating novel carbon fiber electrodes in large numbers
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equity. This is a unique chance to be a part of meaningful research while engaging with community members, study participants, and a large, diverse research team. The successful candidate will support in
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, and link various data resources in preparation for statistical analyses. Contribute to the development of data analysis plans and carry out analyses on large data resources. Assist with the creation
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Student Life, is a large ambulatory, a multispecialty health clinic that serves a large and diverse student body of more than 50,000 students, as well as UM faculty and staff. UHC provides clinical services
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. Establish research questions, identify required data, and determine analytical approach. Complete IRB research applications, maintain data agreements and security. Data Collection and Analysis Collect, manage
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architectures including Snowflake and Databricks; fluency in building scalable and complex data pipelines between large numbers of source and target systems. Fluency with salesforce.com clouds and familiarity
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, testing, and data mapping. Contact for Kira, Salesforce, and Collegenet. Facilitate yearly application updates for the CollegeNet undergraduate applications. Provide data updates, using admissions-related
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to exclusively manage coding, data processing, and analytical responsibilities associated with Projects 1a-1c. The successful candidate will leverage advanced computational methods, including Large Language Models