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, fluorescence and confocal microscopy projects. The Imaging Facility is planning to expand its service portfolio beyond the current eight instruments to include experimental planning and image analysis. This is
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experience in the following areas is a plus: Previous experience in super-resolution microscopy Previous experience in the acquisition and analysis of in vivo fluorescence images Experience in advising
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or OpenCV Specific Requirements The successful candidate will be expected to: • Design and perform high-content and live-cell imaging experiments using macrophages infected with fluorescently labelled
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with non-mammalian model organisms (e.g., Drosophila, C. elegans, Xenopus, or zebrafish); experience with fluorescence microscopy, as well as digital image acquisition and analysis; experience with
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Regular/Temporary Temporary Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoc fellows are being sought to apply quantitative fluorescence imaging
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. Proficiency in fluorescence microscopy imaging techniques is also required. Skills in processing and quantifying scientific images (e.g., using ImageJ/Fiji or equivalent software) are additionally desirable
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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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, electrophysiology, and live-cell imaging Apply and further develop methods for high-resolution and super-resolution fluorescence microscopy Analyze in vivo models, particularly using slice electrophysiology, protein
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labelling (Halo-tag, SNAP-tag) Knowledge of DNA replication and repair Experience with live cell fluorescence microscopy using HILO illumination (ideally in bacteria) Experience with microscopy image analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
: * Advanced fluorescence microscopy and image analysis * Cell biology and organelle biology * Molecular biology and cloning * Bioinformatics or computational analysis experience * Experience working with large