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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
interface. He/she should also be proficient in microscopy techniques and immunostaining. Preference will be given to candidates with extensive experience in tissue processing, primary cell culture, flow
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
interface. He/she should also be proficient in microscopy techniques and immunostaining. Preference will be given to candidates with extensive experience in tissue processing, primary cell culture, flow
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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leverage state-of-the-art in-situ transmission electron microscopy (TEM), including Lorentz TEM, and will have the opportunity to utilize other advanced techniques, such as ultrafast electron microscopy
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flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. • Work with team members across different disciplines such as chemistry, biology, neurosurgery and engineering
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. reactive sputtering, Pulsed laser deposition, ALD, e-beam evaporation, etc.) Thin film characterization (e.g. x-ray diffractometry, optical microscopy, XPS, optical spectroscopy) Analytical electron
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combined with familiarity with iPSC culture and differentiation protocols. You should be proficient in confocal and fluorescence microscopy, standard molecular biology techniques, and immunofluorescence
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, RNAseq, microscopy, iPSC- derived neuron models and rodent neurobehavior. To be considered, all applicants must submit a cover letter summarizing research experience and describing their motivation
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approaches such as RNA-seq and ChIP-qPCR/seq. • Experience with fluorescence microscopy. • Proficiency in statistical analysis and/or coding (e.g., Python, R) for data analysis. • A willingness to learn and
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omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis Experience in medical image processing and analysis (MRI, PET, digital histology, microscopy