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, Department of Neurosurgery, University of Nebraska Medical Center. Dr. Gliske's research group focuses on developing translational electrophysiology biomarkers using advanced statistical analysis of human data
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post-doctoral research scholar. The successful applicant will have a strong training in cognitive science and human behavioral modeling, and be a passionate learner, who is eager to collaborate in
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Date 11/13/2023 Position Qualification Position Summary Conduct translational research using cellular and molecular biology-based approaches in the area of immunobiology. Studies will primarily use human
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of normal and diseased human muscle to study pathological changes in abundance, structure, and function of molecular, subcellular, and cellular subsystems including myofibers, intercellular connective tissue
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. Independently drive research projects and participate in collaborative projects between our laboratory and other academic and industrial partners. Act as a leader from the bench, driving research programs
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combination therapy and biomarkers for glioblastoma (brain cancer). The potential candidate is expected to perform various cell and molecular biology techniques, PBMC and exosome isolation from human serum
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how cells and tissues achieve stereotypic form. We are particularly interested in understanding how deviations from regular cell shape and size can initiate human disease. Our strategy to address
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interested in understanding the neural mechanisms underlying the bidirectional relationship between sleep and neurodegenerative diseases such as Alzheimer’s disease. Taking advantage of multiple state
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. To accelerate established efforts, team requires the candidate to partner with on-site scientists with virological, animal model and neuroscience expertise. The program was the first to develop a novel humanized
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, Department of Neurosurgery, University of Nebraska Medical Center. Dr. Gliske’s research group focuses on developing translational electrophysiology biomarkers using advanced statistical analysis of human data