80 computer-science-data-wahrn-hous Postdoctoral positions at University of Minnesota
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biology, genetics, physiology or biomedicine and have a strong track record of, and potential for, success. The applicant should have a keen research interest in cell signaling, calcium dynamics
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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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website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training Medical, dental, and
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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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: participate in the design, implementation and evaluation of research. Carry out and supervise laboratory experiments. Develop experimental procedures. Collect and analyze data, prepare and present data
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and then model their space use and behavioral patterns. The post-doctoral researcher will also be responsible for coordinating a team to deploy and monitor behavioral playback cameras, developing a data
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-dimensional/multicolor panel design, immune phenotyping, and data analysis • Skilled in molecular biology techniques including RNA/DNA isolation, qPCR, ELISA, gene knockdown, and magnetic-assisted cell sorting
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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
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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