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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
skills include molecular biology techniques (DNA/RNA preparation, PCR, molecular cloning), data collection using microscopy and single cell RNA sequencing, data entry, and quantitative data analysis from
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of Staufen1:RNA complexes in vitro; as well as on gathering detailed information of such assemblies combining light and electron microscopy approaches. Techniques Gene cloning, Protein over-expression
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-up, consumables, equipment and staff. We also offer free access to our well-supported in-house facilities, which include electron microscopy, nuclear magnetic resonance, X-ray crystallography, light
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. This project will use state-of-the-art live-cell super resolution microscopy and automated image analysis to both visualise the 3D architecture of keratin networks in epithelial monolayers. You will explore how
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at: https://research.fredhutch.org/parkhurst/en.html Responsibilities The research tech will primarily carry out an independent research project that involves cell biology, developmental genetics, and
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, proteomics, genomics, peptide synthesis, and advanced light microscopy (https://www.upf.edu/web/sct ). MELIS promotes diversity in an inclusive environment that welcomes applicants regardless of age
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Job Description The Molecular Analysis Facility (MAF) is a fully staffed fee-for-use instrumentation facility for users from the UW, other universities, and industry. Capabilities include microscopy
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cytometry (CyTOF), fluorescence-activated cell sorting (FACS), multiplexed fluorescence microscopy and single-cell RNA sequencing; prepare RNA and DNA; perform PCR, weaning, tail biopsy, and blood processing
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fields: Material Science, thermal simulation, Metallurgy, Solidification of alloys,... School - Location: Centrale Lille Institute Laboratory: LaMcube Web site: http://lamcube.univ-lille.fr/ Name of
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the synaptic wiring diagram, or connectome, of whole brains, designing, building and using machine learning approaches to computer vision as applied to volume electron microscopy of whole brains. The ideal