69 composite-residual-stress-development Postdoctoral positions at University of Minnesota
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Previous Job Job Title Post-Doctoral Associate - Department of Ecology, Evolution & Behavior Next Job Apply for Job Job ID 369573 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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Previous Job Job Title Post-Doctoral Associate - Department of Ecology, Evolution and Behavior Next Job Apply for Job Job ID 368742 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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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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composition, food intake and preference measurements, and cognitive and anxiety/addiction potency testing. • Inject various compounds and solutions into experimental animals. • Assist with and eventually
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by child welfare. The postdoc would receive training in community based participatory research processes as well as parent intervention development and evaluation. This is a part time position at 15
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is limited to a period of up to three to five years, depending on training needs and funding available. The University of Minnesota encourages a healthy work life balance for employees. CEHD is
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, Professor). Our research focuses on stress psychobiology, addiction, and global health research. The candidate will have access to a rich clinical research environment within the NIH funded CTSI and other
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complex decision-making, and specifically in governing the balance between flexible and rigid decision styles. Tools to be employed (and on which we can train you) include: •Novel high density probes
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yeast genetics and molecular/cellular biology expertise to join this international team studying the effects of polyploidy on cell physiology and evolution. The experienced researcher will run
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and