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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20260033F Position Title
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research studies, please visit the website: https://innovation.umn.edu/developmental-cognition-and-neuroimaging-lab/ The scholar will be able to draw on world-class neuroimaging facilities and training
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development and regeneration. To address these questions, we employ a multidisciplinary approach that integrates cutting-edge high-resolution live-cell imaging, advanced microscopy, cell and molecular biology
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industrial partners through regular progress reports and supporting technology transfer processes where applicable. You will also be expected to participate in preparing, presenting, and discussing data with
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of antiviral/antitumor signaling (e.g., cGAS-STING) · Prior experience with adipocyte culture · Prior experience with advanced cellular imaging techniques, including live-cell imaging
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appointment. Appointment Start Date: The start date is flexible. We will review applications on a rolling basis. Group or Departmental Website: https://pathology.stanford.edu/(link is external) How to Submit
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
-specific knowledge: A strong base of knowledge in signal transduction, genome maintenance, DNA replication, cell cycle, and how these processes impact carcinogenesis and cancer therapy. Research methods
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application of state-of-the-art imaging techniques to study perturbations in replication fork dynamics genome-wide at single-molecule resolution. They will also have the opportunity to work closely within a
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imaging. The University of Minnesota provides an excellent environment for stem cell and neurodegeneration research, with the University of Stem Cell Institute and the N. Bud Grossman Center for Memory
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structural data. Develop workflows for time-resolved crystallography data processing. Integrate molecular dynamics with AI/ML methods. Benchmark protein foundation model performance and integrate them with