Sort by
Refine Your Search
-
neural populations and their application in animal models In the Department of Neurosurgery. There will be opportunities to lead a team of students, contribute to grant writing, engage in professional
-
and their application in animal models. There will be opportunities to lead a team of students, contribute to grant writing, engage in professional development, and disseminate results at conferences
-
, immunofluorescence staining and confocal microscopy, RNA/DNA isolation and qPCR, ELISA, western blot, immunoprecipitation, RNA-seq, transfection, gene knockdown/knockout or overexpression. Experience with
-
of primary cells, cell lines, and animals (mice and guinea pigs) Good working knowledge of flow cytometry, immunofluorescence staining and confocal microscopy, RNA/DNA isolation and qPCR, ELISA, western blot
-
, please visit the website: https://innovation.umn.edu/developmental-cognition-and-neuroimaging-lab/ The scholar will be able to draw on world-class neuroimaging facilities and training at the Center
-
function following construction. The project focuses on identifying variables and causal relationships that determine the long-term performance of designed and constructed ponds so that they can be managed
-
of Civil, Environmental, and Geo- Engineering. The person would take the lead on a project co-supervised by Profs. Behrens and Arnold to evaluate microbial degradation of fluorinated pesticides and
-
carrying out complex, long-term research projects. - Experience with cell culture - Experience with molecular biology techniques (cloning, PCR, nucleic acid extraction) and/or fluorescence microscopy
-
Routine mammalian cell culture, transfection using sterile techniques. Preferred qualifications: • Immunofluorescence microscopy: sample preparation, immunofluorescent microscopy experience, image analysis
-
regions of Minnesota. Part of this experiment has already been established and will continue for at least two additional years. The postdoc will lead data collection (for paper birch), statistical analysis