77 research-group-software-architecture Postdoctoral positions at University of Minnesota in United-States
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of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a
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Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research This research is related to the integration of computation into the undergraduate physics
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Qualifications: Ability to quickly learn new things and work independently, open minded, along with previous research experience in the following areas. This includes experience with cell culture, microscopy and
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publications, experience with gene editing (CRISPR or otherwise), NGS sequencing, and mouse handling/dissection. This position is supported by a recent Alcon Senior Researcher Award given to Dr. Hulleman. 20
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available in the Department of Chemical Engineering and Materials Science at the University of Minnesota- Twin Cities during the current fiscal year to conduct grant supposed research in all areas of Chemical
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Aslanidi Lab research is focused on bioengineering and the application of Adeno-Associated virus (AAV) vectors
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searching for a Postdoctoral Associate with strong research interest in behavioral medicine. The candidate will participate in an active NIH and NSF biobehavioral research program (Director, Mustafa al'Absi
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biology, genetics, physiology or biomedicine and have a strong track record of, and potential for, success. The applicant should have a keen research interest in cell signaling, calcium dynamics
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of Minnesota is seeking a highly motivated Postdoctoral Researcher to join a dynamic team focused on developing intelligent neurotechnologies for translational medicine. The lab specializes in computational
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants