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Information This position is for multiple hires. The appointments will be for one year and possible renewal up to five years. The primary work location for this role will be onsite at the University of Michigan
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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methodology development as well as applied cancer bioinformatics in a variety of disease sites, including the incorporation of statistical, machine learning & QML ideas. Multiple collaborative opportunities
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development in Neurodevelopmental disorders associated with altered chromatin regulation. The candidate will participate in multiple NIH-funded projects that explore disease mechanisms in rodent and human
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digital scholarship activities. Provide liaison services for multiple Digital Scholarship-related campus programs. Research and Professional Development (10%) Participate in ongoing learning and
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the project's multiple principal investigators (MPIs), the Post-Doctoral Research Fellow will contribute to the scientific aims of NSAL, including but not limited to: Assisting the MPIs and Project Director on
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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collaborative group setting, and will interact with multiple faculty, postdoctoral researchers, and student trainees. The postdoctoral research fellow will be expected to prepare manuscripts and conference
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research, especially deep learning literature, and how these methods apply to our use cases Ability to manage multiple projects and assignments with a high level of autonomy and accountability for results
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neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to understand the cellular and physiological pathways that modulate aging and multiple disease risks in mammals. The Kaczorowski Lab