80 computer-science-data-wahrn-hous Postdoctoral positions at University of Minnesota
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Falls Lab-SAFL Posted Date 06/23/2025 Job Title Research Pro 3-Informatics (Modiano Lab) Job ID 368896 Location Twin Cities Department Veterinary Clinical Sciences Posted Date 06/22/2025 Job Title
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(e.g., Neuropixels recordings) in awake, behaving rodents. • Computational modeling and advanced data analysis. At least one role will be embedded within the newly launched Simons Collaboration
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qualifications must be documented on application materials. Required Qualifications PhD in neuroscience, psychology, cognitive science, or a related field. Strong experience in neuroimaging data acquisition
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview Dr. Boukherroub’s lab in the Department of Animal Science, University of Minnesota, Twin Cities has an open
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conferences (20%) Qualifications Required Qualifications: - A B.S. degree related to a biomedical field. Preferred Qualifications: - Advanced degree (PhD) in biomedical sciences or related field(s) - Experience
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) Qualifications Essential Qualifications PhD in forestry or closely related field such as land resources Preferred Qualifications Have experience with bark beetles, tree defenses, and climate data Have experience
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researcher for a 2-year, collaborative project funded by Minnesota’s LCCMR Program titled "Climate change and management effects on lake methane". The position will be based at the University of Minnesota
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job We are seeking a motivated and productive post-doctoral associate with extensive experience in cell biology, molecular
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Qualifications Interests in understanding the patterns and understanding of adolescent digital technology use Demonstrated ability to strategically develop, implement and maintain a data management plan Strong