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Previous Job Job Title Post-Doctoral Associate - Data-Driven Literacy Lab Next Job Apply for Job Job ID 368178 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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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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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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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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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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required qualifications must be documented on application materials. Required Qualifications: • PhD in Immunology or a closely related biomedical field • Strong scientific knowledge and hands-on experience
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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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extraction and RT-PCR. Prepare samples for next generation sequencing (NGS) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use
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of experience in both aquatic ecology and microbial biogeochemistry. This position will provide robust training in data collection and analyses, in addition to manuscript preparation; guidance in career
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techniques) • Perform and modify documented protocols and assays • Maintain laboratory records and compile data on experiments and assays • Interpret and report on experimental results • Perform statistical