Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We encourage
-
. This position is located at the University of Minnesota-Twin Cities on the East Bank. 60% Lab Research: Live fluorescent imaging of neuronal cultures. Immunocytochemistry and fluorescent microscopy of individual
-
proteins and perform western blotting to quantify results. Perform image and data analysis using MATLAB and FIJI, and summarize results by generating appropriate graphical output in Matlab or excel. Keep
-
and ubiquitin ligase complexes by single particle cryoelectron microscopy. Prepare purified protein samples, reconstitute complexes by gel filtration, prepare cryoelectron microscopy grids for imaging
-
and imaging techniques; performing confocal and two-photon calcium imaging in cells , organoids or brain slices; analysis and interpretation of results. 20% Other Scientific Duties - Review literature
-
-reviewed publication. About the Department In the College of Food, Agricultural and Natural Resources Sciences (CFANS) we look at the bigger picture. When we envision a better tomorrow, it includes disease
-
, anesthesiology & surgical assisting, clinical research, laboratory procedures, medical imaging, preventative and specialty care (i.e. Dermatology, Dentistry & Oral Surgery, Cardiology, Neurology, Nutrition
-
update lab safety plan 20% Manage Data and Protocols: manage and formally archive data; process remote sensing data; manage images and classification data for the Eyes on the Wild citizen science project
-
scanning using Motic Slide Scanner of stained slides for analysis. Learn and perform quantitative analysis of stained slides using Image J and/or HALO image analysis system. Learn and perform quantitative
-
of water resources and environmental engineering. The department features state-of-the-art experimental facilities, including multiple excellent core facilities (imaging, genomics, research computing, etc