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indicators (GEVIs) for single-neuron, single-spike resolution recordings in behaving animals. The incoming candidate in the Kannan lab will apply advanced optical tools and multipopulation voltage imaging
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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
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related field, and experience in one or more of the following areas: multiphoton imaging, optogenetics, calcium imaging, and / or in vivo electrophysiology. Applicants without prior experience in
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/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
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. This position offers the opportunity to work in a vibrant, well-funded lab with strong collaborations across neuropathology, neurology, and neuroscience, and access to advanced resources such as imaging cores
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, the Microbial and Plant Genomics Institute, the BioTechnology Institute, the Biotechnology Resource Center, the University of Minnesota Genomics Center, the Biological Imaging Centers, the University of Minnesota
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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
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postdoctoral researcher to assist in the laboratory’s efforts in developing a robotic exoskeleton for the physical rehabilitation of the upper limb function. The laboratory is working on translating an advanced
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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
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and ubiquitin ligase complexes by single particle cryoelectron microscopy. Prepare purified protein samples, reconstitute complexes by gel filtration, prepare cryoelectron microscopy grids for imaging