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Classification Title: Postdoctoral Research Associate Classification Minimum Requirements: Ph.D. in Neurobiology, Stem Cell Biology, Biomedical Engineering, Cell Biology, Molecular Biology, or a
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offer An interdisciplinary environment spanning experimental biology, technology development and computational research Access to an established in vivo single-cell CRISPR screening
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Hill seeks a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data within controlled cell-line model systems. The project focuses
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extracellular matrix components and growth factors. Perform 2D and 3D cell culture experiments using intestinal cell lines and organoid models. Conduct cell biology, immunofluorescence and microscopy experiments
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NIH awards is available in the The Peng Lab (Department of Ophthalmology, UCLA). Our laboratory combines single-cell multiomics (scRNA-seq, scATAC-seq, spatial transcriptomics), cell-surface proteomics
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London, on the Guy’s and Denmark Hill campuses. We seek a skilled Postdoctoral Research Associate with expertise in biological NMR spectroscopy, SAXS, recombinant protein production, and cell biology. The
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engineeringEducation LevelPhD or equivalent Skills/Qualifications Ideally, the candidate has experience in quantitative biology and bioinformatic analysis, including: Image analysis (cell segmentation, tracking
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of biomedical microfluidics (LBMM; www.epfl.ch/labs/lbmm ) at the Swiss Federal Institute of Technology in Lausanne (EPFL), is looking for postdocs with a primary training in single-cell biology, next generation
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Neuroscience, Cancer Biology, Cell Biology, or in a comparable field or discipline. Demonstrated ability to work independently and collaboratively in a multidisciplinary research setting. Strong written and
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to pathogen survival. The postdoctoral fellow will employ a combination of cell biology, microbiology, molecular genetics, imaging, biochemistry, lipidomics, and metabolic approaches to characterize host