34 postdoc-in-automation-and-control-"Multiple" Postdoctoral positions at University of Minnesota
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary of Position: A postdoc position is immediately available to perform molecular biology and biochemistry research
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple
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-time Postdoctoral Researcher. The initial appointment is for one year, with renewal possible. The incoming postdoc will work closely with the PI to use multidisciplinary approaches to upgrade
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for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We encourage
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regions of Minnesota. Part of this experiment has already been established and will continue for at least two additional years. The postdoc will lead data collection (for paper birch), statistical analysis
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for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We encourage
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Yang research lab at the University of Minnesota is looking for a postdoc with microfluidic expertise
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for recording across multiple cortical/ striatal circuits •Optogenetic and electrical real-time perturbations, including interventions directly related to clinical deep brain stimulation. •Parametric
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Hulleman Laboratory is looking for a motivated and talented postdoc for a two-year program to focus on an exciting
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, classifications, etc. Experience in developing automated analysis methods for image reconstruction, enhancement, analysis and integration of heterogenous data with medical image informatics. Experience developing