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Field
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Qualifications Experience with rodents (handling, brain surgeries, tissue harvesting) Experience in confocal microscopy and imaging software (Axiovision and Image J) Experience in image analysis techniques
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, and fluorescent microscopy. Experience in studying skin, hair follicle, skin cancer, or epithelial-mesenchymal interaction, and genetically engineered mouse models is a plus. The ideal candidate should
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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, behavioral testing, and fiber photometry is required, as well as experience with confocal microscopy and immunofluorescence. Interested candidates should send, by March 06, 2026, to Prof. Felipe Villela Gomes
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/molecular biology techniques and fluorescence microscopy are strongly preferred. Experience with mouse handling, tissue dissections and mouse genetics are also desirable. Responsibilities: Independently drive
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bacteria Proficient in molecular biology laboratory techniques, such as RT-qPCR, bacterial genetics, Protein Biochemistry, Western blotting, and microscopy, and use of genomics including comparative genomics
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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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(confocal microscopy, cell growth assays) and other methods. Tissue processing and analysis: Isolation, fixation, and cryopreservation of tissue organs from mice. Preparation and cryosection of fix-frozen
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of multiple, separate peptides from one coding region. The postdoctoral fellow will investigate the molecular mechanism, using a suite of tools including cryo-electron microscopy. The fellow will also initiate
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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing