77 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions at University of Minnesota
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. The candidate must have a track record of reliability and good verbal and written communication skills. This is an ideal position for a recent graduate with an PhD, MD/PhD degree in related fields, but not
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you learned about this program. For information about this position, please contact Dr. Mustafa al’Absi at malabsi@umn.edu The University of Minnesota is an equal opportunity educator and employer
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, Ph.D. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals
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to lead a project related to the transport of bacteria in porous media and multiphase flow. A PhD degree in engineering or earth science is needed. 75% - Conduct laboratory experiments related
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carry out experiments to understand bacterial physiology and genetics. 15% Publication and Presentation of Data The postdoctoral scholar is expected to communicate their research findings through
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the Job: 30% Lead research projects pertaining to development of large animal models of disease
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heart failure are preferred. The employer retains the right to change or assign other duties to this position. About the Lab The position is in the laboratory of Dr. Aleksandra Babicheva with overall
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appointment or expected weekly hours, assume a 100% appointment.) Position Type: Faculty and P&A Staff Please visit the Office of Human Resources website for more information regarding benefit eligibility
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culture, plasmid preparation, cloning, protein purification and enzymatic assays. The position will also lead data analysis and preparation of reports for presentation, manuscript or patent applications
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biology, and tissue engineering to join our team. In this role, you will have the opportunity to contribute to broad research projects focused on cardiovascular disease modeling and cardiac regeneration