Sort by
Refine Your Search
-
Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
-
/molecular approaches, in vivo imaging, behavior, histology, and EEG. The desire to learn new techniques and work as part of a collaborative team is strongly encouraged. Training in new techniques would be
-
of Minnesota’s Masonic Institute for the Developing Brain (MIDB) under the direction of Dr. Damien Fair. This position will focus on precision imaging and TMS projects. CDNI is housed at the Masonic Institute
-
prototype device into a minimum-viable-product that can be utilized in hospitals and clinics. The postdoc will assist the laboratory in equipping the current prototype device with new features and
-
and ubiquitin ligase complexes by single particle cryoelectron microscopy. Prepare purified protein samples, reconstitute complexes by gel filtration, prepare cryoelectron microscopy grids for imaging
-
hypoglossal nerve recordings or EMG recordings of respiratory muscles, and immunohistochemistry analysis using Image J or Imaris software. Our team works within a vibrant research community at the University
-
analysis, live cell imaging, and animal behavior: ● Stem cell biology ● Spinal cord injury cell transplantation About the Department To learn more about the Department of Neurosurgery, please visit https
-
Institute, the Biotechnology Resource Center, the University of Minnesota Genomics Center, the Biological Imaging Centers, the University of Minnesota Herbarium of the J. F. Bell Museum of Natural History
-
, the Biotechnology Resource Center, the University of Minnesota Genomics Center, the Biological Imaging Centers, the University of Minnesota Herbarium of the J. F. Bell Museum of Natural History, Itasca Biological
-
adapt to ever changing needs Preferred Qualifications: ● Research experience in natural language processing on biomedical and/or clinical texts, computer vision on medical images, causal inference