65 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at University of Minnesota
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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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safety standards and adhere to University of Minnesota policies. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Environmental Engineering, Chemistry, Chemical
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Qualifications: PhD in plant science, horticulture, agronomy, or a related field Pay and Benefits Pay Range: $61,008 - $62,000; depending on education/qualifications/experience Please visit the Benefits
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experiments related to influenza and/or innate immunity 20% experiments related to influenza and/or innate immunity, write grants and papers 10% duties as assigned Qualifications Required Qualifications: PhD in
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the organization and coordination of research projects. Qualifications Required Qualifications: Candidates with a DVM degree or equivalent foreign degree are eligible to apply. Preferred Qualifications: A PhD degree
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regular presentations of scientific data and significant contribution to the preparation of manuscripts. Qualifications Required Qualifications: PhD in Cell Biology or related field Preferred Qualifications
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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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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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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