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activities comply with approved human-subjects, confidentiality, and data-security procedures Draft research memos, technical reports, policy briefs, presentations, manuscripts, and other dissemination
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candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act. U-M EEO
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. Current projects integrate mechanistic molecular biology, mouse models, and cutting-edge multiomic analyses of human tissues to uncover epithelial gene regulatory networks and translate these discoveries
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are performed in compliance with the Fair Credit Reporting Act. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the
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Apply Now Responsibilities* The successful candidate would work on multiple projects all related to modeling the function of the human auditory system. Responses to both natural stimuli (like speech
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background checks. Background checks are performed in compliance with the Fair Credit Reporting Act. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection
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conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional
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on cancer biology, pediatric brain tumors, developmental biology, and human genetics. Maintain and develop collaborations to advance the scientific work. Document, compile, and format data analysis in
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multidisciplinary automated drug discovery lab developing technologies to improve global health. The candidate will support the development of in vitro bioassays to advance drug discovery programs for humans and
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Generate 3D models of human skin Train undergraduate and graduate students and other relevant lab members in techniques and the scientific method Prepare data reports for weekly meeting with PI and bi