63 front-end-development Postdoctoral research jobs at University of Minnesota in United States
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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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. Commitment to good data management is a highly desirable skill for this job. Experience with data visualization and preparation of scientific manuscripts are desirable skills. Desired start and end dates
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to treatment for end stage kidney disease (ESKD) is estimated to reach 9.1 million by 2030. This burden is overwhelmingly felt by patients in low and middle income countries (LMICs). Less than 10% of those who
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scientist to join an enthusiastic and collaborative team of outstanding scientists. The successful applicant will hold a terminal degree from an accredited institution, in the area of cellular and molecular
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Blythe Lab in the Department of Genetics, Cell Biology and Development seeks a postdoctoral associate to join our team
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analyses with the project data; developing, writing, presenting, and publishing research articles; collaborating with the interdisciplinary project team to execute the project; and engaging in professional
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project that aims to develop new tools to gauge retinal health and disease using next-generation CRISPR-based tools. The ideal candidate who fills this position will have a consistent track record of
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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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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic