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, performing, analyzing, and writing up to report for publication behavioral neuroscience experiments addressing questions of decision-making in rodents Qualifications Required Qualifications: PhD in
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%). • Contribute to data and lab management (5%) Qualifications Required Qualifications: • PhD, DO, MD or similar degree in health sciences or related field • 3+ years experience in biological sciences laboratory
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graduate and undergraduate students in the research group. 90% Research Conduct research related to specific externally-funded projects, including collecting and analyzing data, troubleshooting challenges
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in this field, as well as a PhD. Pay and Benefits Pay Range: $75,000 annually; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job As a postdoctoral associate, you will work under the mentorship of Mark Osborn, PhD, contributing to cutting-edge research in
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implementation of various projects, including (but not limited to) scaling, algorithm development, scaled score development and documentation. Support the creation, management, and retention of large-scale data
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, you will be responsible for conducting experiments and collecting data. You will contribute to the preparation of research manuscripts for submission and you will have the opportunity to present your
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at the University of Minnesota seek a motivated scientist with applied field research experience to evaluate existing data from research trials conducted in Minnesota and establish and coordinate nitrogen fertilizer
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, ability to do large scale simulations, and agreement with novel as well as published data Meet regularly with the experimentalists to understand and help process 2-photon data Prepare group presentations
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analyze data for experiments evaluating vernalization requirements in different turfgrass species such as perennial ryegrass and hard fescue. Investigate the molecular regulation of vegetative-reproductive