27 software-defined-network-postdoc Postdoctoral research jobs at University of Minnesota
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. Annual Salary: Based on NIH NRSA postdoctoral stipend levels . ● Postdoc No Experience: $62,232 ● Postdoc 1 year of Experience: $62,652 ● Postdoc 2 years of Experience: $63,120 Work Arrangements: The
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties/Responsibilities: The postdoc will engage in projects related to generation of stem-cell derived neural populations
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, Ph.D. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The CNS Lab at the Masonic Institute for the Developing Brain will be hiring a postdoc to contribute to a new study of 200
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. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals should be open to
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, Indigenous, and people of color, those with disabilities, those who are first generation, veterans, and those from 2SLGBTQIA+ communities. The postdoc will be formally mentored by Dr. Xiao Zang and will engage
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cytometry, nucleic acid extraction and quantification, western blotting, ELISA, and next generation sequencing is required. Proficiency with computers is essential as the use of office software, including
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host interactions through network analysis, machine learning. - Ability to map microbial genes to biochemical pathway analysis - Excellence in research, communication and collaboration skills, as
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gap between how artificial and real networks learn. The Department of Neuroscience at the University of Minnesota is home to a strong and collaborative community studying motor learning and motivational
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experiments using murine models to study immune regulation and retinal degeneration • Conduct transcriptomic and pathway analyses (e.g., snRNAs-seq, RNA-seq) to uncover regulatory networks • Use molecular and