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Position Summary The Marti Lab in the Department of Cell Biology & Physiology builds next-generation imaging and AI tools to reveal how health, aging, and disease progress inside living mammals. We
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developing a novel imaging and amperometry-based platform for research into neurological diseases. About us The Esbjörner lab belongs to the Division of Chemical Biology , which is part of the Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
imaging, and structured electronic health record (EHR) data. The postdoctoral researcher will work closely with the Director for Cardiovascular Artificial Intelligence Research and contribute to the design
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operate. Our approach We combine biochemical reconstitution, live-cell imaging, multi-scale structural biology, and omics technologies to uncover how the nuclear envelope functions as an intelligent
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their degree in the near future) in Cancer Biology or a related field. Proficiency in experimental techniques such as cell/organoid culture, library construction, imaging and handling animal models. Experience
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assays, Reporter assays, Polysome fractionation, DNA cloning. Cell Biology: Immunofluorescence, Live cell imaging. Screening assays: Next Generation Sequencing (RNAseq, ChIP-seq, single cell RNAseq, etc
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neurodegenerative diseases. ALS is the primary disease focus. The potential projects within this area include but are not limited to: Cell based assays (primarily imaging) for mitochondrial biology using human
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isogenic mutant cell lines, by conducting morphological, molecular (single-cell RNA sequencing), and functional (MEA and Ca++ imaging) studies. The successful candidate will be expected to carry out
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equipment is composed of an ultrafast laser system, optical instruments, an electron gun system, an amplified imaging assembly, an ultrahigh vacuum chamber assembly, and a number of surface science tools
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of virus evolution into mathematical models of spillover infection and transmission of prototype viruses representing viral families concern to support the development of methods for virus sequence analysis