67 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at University of Minnesota
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reports, grant writing, and extension and professional presentations and activities Qualifications Required Qualifications: - PhD in soil science, agronomy, environmental science or closely related field
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dissemination plan Qualifications Required Qualifications Ability to collaborate effectively with people from a variety of communities, backgrounds, and identities PhD in Family Social Science or related field
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(Including histone modification and DNA methylation) and 3D genome organization studies on the interplay between EBV infection and host interactions. Using in vitro B cell transformation model and 3D organoid
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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and
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include: -PhD (or equivalent terminal degree) in relevant discipline, in biological sciences, microbiology, chemical engineering, biomedical engineering, or mechanical engineering -Experience with funded
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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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modification and DNA methylation) and 3D genome organization studies on the interplay between EBV infection and host interactions. Using in vitro B cell transformation model and 3D organoid to understand
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with stress, but few other generalities have emerged, in part because, researchers across diverse fields—from cell biology to genomics, agriculture, cancer, and ecology—rarely interact. Through
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experimental and computational methods for integrated multi-omics studies. About the Role · Lead independent research projects investigating somatic mosaicism in various tissue types of human or mouse models
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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