27 model-driven-engineering Postdoctoral positions at University of Nebraska Medical Center
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, gene transfer, gene editing, biochemistry, cell biology, cell culture, and vertebrate animal models, including genetically-engineered mice. The work will include generation, characterization, and
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neuroscience, with demonstrated success as a recent Ph.D. graduate with a track record in (1) statistical modeling, (2) tobacco regulatory science, or (3) neurocognition and brain development. The successful
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Qualifications: PhD (or analogue) and substantial knowledge of human and/or animal reproductive physiology. Significant experience of working with, and breeding rodent models. Excellent communication skills
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methods of molecular biology, gene transfer, gene editing, biochemistry, cell culture, and vertebrate animal models, including genetically-engineered mice. Salary Range: Salary Commensurate with Experience
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include animal models as synergetic platform for preclinical development of therapeutics and molecular biology aspects of the diseases. A self-starter with strong interest in understanding virological
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neuroscience, with demonstrated success as a recent Ph.D. graduate with a track record in (1) statistical modeling, (2) tobacco regulatory science, or (3) neurocognition and brain development. The successful
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Position Summary Working on projects on cellular and animal models for drug resistance in PDAC and ovarian cancer Required Qualifications Ph.D. or equivalent degree in cell biology, cancer biology or similar
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record in (1) statistical modeling, (2) tobacco regulatory science, or (3) neurocognition and brain development. The successful candidate will contribute to project planning and lead efforts related
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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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of working with, and breeding rodent models. Excellent communication skills. An interest in placental and/or fetal brain development and experience of genomics or transcriptomics and bioinformatics would be