17 compuutational-science Postdoctoral positions at The University of Iowa in United States
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POSTDOCTORAL SCHOLAR Requisition # 4458 Position Basics Advertising Ends on:Thursday, August 28th, 2025 Advertising Started on:Thursday, August 7th, 2025 College:College of Engineering Department:UI
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on advancing the understanding of thrombosis, vascular biology, and stroke. The successful candidate will be expected to initiate new research proposals for both intramural and extramural funding opportunities
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, interpretation and control of experiments in a multi-disciplinary cellular, molecular and engineering research laboratory. Characteristic Duties and Responsibilities Help to design and plan experiments for various
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of Liberal Arts & Sciences Department:Chemistry Salary Salary:$63,000.00 - $63,000.00 Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: The Forbes Research Group
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Research Facility (MRRF) at the University of Iowa in collaboration with the Free Radical and Radiation Biology Program is seeking a highly qualified motivated individual to fill a Post-Doctoral Fellowship
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may be exercised over other research personnel, including research assistants, students, and other trainees. Education Requirement: • A PhD in Molecular or Cellular Biology, Genetics, Neuroscience
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of Liberal Arts & Sciences Department:Psychological and Brain Sciences Salary Salary:$62,232.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description
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neurodegenerative diseases and a background in cellular and molecular biology, neuroscience and metabolism. Additionally, the successful candidate will have an interest/expertise in developing novel cellular/tissue
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world for its balanced commitment to the arts, sciences, and humanities. The University of Iowa is located in Iowa City, a community built around higher education, with vibrant cultural opportunities and a long
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clinicians in the colleges of medicine, nursing, and pharmacy. Ultimately, the person in this position will contribute to the translation of machine learning technology into improved, personalized clinical