53 machine-learning-and-computational-biology-research-group Postdoctoral positions at The University of Arizona
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Postdoctoral Research Associate to join our research group working at the intersection of advanced manufacturing, computational modeling, and machine learning. This position offers an opportunity to contribute
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Ability to acquire new skills beyond current expertise to achieve project objectives. In-depth theoretical and practical knowledge in engineering or cell biology. Ability to work independently and
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with an ambition to someday become an independent principal investigator running an extramurally funded research program. Responsibilities include: Carry out hypothesis-driven research projects, generate
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Sign In Create Profile Postdoctoral Research Associate, Biomedical Engineering Tucson, AZ, United States | req23896 Apply Now Share Save Job Posted on: 9/16/2025 Back to Search Postdoctoral Research
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The R. Ken Coit College of Pharmacy seeks a Postdoctoral Research Associate for the lab of Dr. Kevin Rhine. The research focus of this position will be how RNA biology changes as a function of neuronal
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Sign In Create Profile Postdoctoral Research Associate II Tucson, AZ, United States | req23988 Apply Now Share Save Job Posted on: 9/18/2025 Back to Search Postdoctoral Research Associate II Posting
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molecular biology and multi-omics. Participate in the acquisition of research funding by initiating and writing grant proposals. Participate in writing articles for peer-reviewed journals, books or chapter
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to learn new skills outside of current discipline and comfort zone to accomplish project goals. Demonstrated broad theoretical and practical knowledge within the fields of tissue engineering, or cell biology
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Sign In Create Profile Postdoctoral Research Associate Tucson, AZ, United States | req23856 Apply Now Share Save Job Posted on: 9/5/2025 Back to Search Postdoctoral Research Associate Posting Number
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projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions for SDA