85 software-engineering-model-driven-engineering-phd-position Postdoctoral research jobs at University of Minnesota
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This is a post-doctoral position located in the Department of Biomedical Engineering (BME
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, 2026. Qualifications Required qualifications: PhD in Chemical Engineering, Materials Science or a related field About the Department This position is in the Department of Chemical Engineering and
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. Qualifications Qualified candidates must have a PhD in Electrical Engineering or related field. About the Department ECE is one of the largest departments within the College of Science and Engineering. Current
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, iPSC-derived systems, and AI-driven tissue analytics. Responsibilities: • Design and Execute Experiments Using Mouse Models: Maintain and manipulate transgenic or knockout mouse lines relevant
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, are seeking two postdoctoral associates to participate in ongoing interdisciplinary projects. The incoming candidate in the Vasan lab will focus on engineering ultra-sensitive genetically encoded voltage
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capabilities such as incorporating new sensors and redesigning the hardware and software prototype. This position is a temporary position that will last 30 weeks from the start date. The University of Minnesota
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on cardiovascular disease modeling and cardiac regeneration using human induced pluripotent stem cells derived cardiac cell types and associated engineered tissues. As a team member, you will be responsible
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%) Publish papers in peer-reviewed journals and present at technical and clinical conferences. (15%) Participate in grant writing, mentorship and career development programs. This position may be filled at 75
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, and conduct independent research projects investigating head and neck tissue stem cell (dys)function in various preclinical models (mouse, explant, organoid), focusing on normal aging and age-related
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired