58 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at University of Minnesota
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QUALIFICATIONS: ● Ph.D. in statistics, applied mathematics, computer science, engineering, or a related data science field by the date of appointment is required. ● Demonstrated commitment to high-quality research
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presenting at scientific conferences 10% mentoring – training graduate and undergraduate students in the laboratory Qualifications Required Qualifications PhD or equivalent in Biomedical Engineering, Materials
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University Ave SE, Minneapolis, Twin Cities Campus - East-bank. Sponsorship: This position is not eligible for H-1B visa sponsorship. Qualifications Required Qualifications: A PhD degree in Biostatistics
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the fundamental science that will lead to realizing the potential for the subsurface storage of CO2 through mineralization. Successful candidates should have a PhD in earth sciences, chemistry, environmental
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of the areas above in collaboration with the Director, Joseph E. Gaugler, PhD (the Robert L. Kane Endowed Chair in Long-Term Care & Aging and Professor in the School of Public Health), Associate
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PhD in Animal Science, Biology, or related field Prior experience in cell culture, cellular and molecular biology techniques Previous experience working with large animals (preferably cattle) in a
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including O-RAN based network systems and testbeds to support emerging 5G/NextG user cases (10%) Dissemination via articles, conference presentations Qualifications Required Qualifications: PhD in
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for ongoing projects, data analysis results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: -A PhD in Biostatistics
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. This position is not eligible for H-1B visa sponsorship. Qualifications Required: PhD in Theoretical Physics by beginning date of appointment Preferred: Expertise in modern aspects of non-perturbative quantum
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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