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Field
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against different operation conditions. The position is a part of a research project and prototype battery modules will be produced by one of the partners. The tasks include testing of these prototype
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into complementary domains required by this project (computational microscopy, computer vision or parallel ML). Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular
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microscopy, computer vision or parallel ML). Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular emphasis on electron microscopy (EM) data. Communication
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unprecedented precision. - Procedures on rodents, such as: stereotactic brain surgery, cochlear injections, tissue sampling, tagging, etc. - Immunohistochemistry - Confocal imaging - Image analysis and 3D
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Posting Information Posting Details Department Biomedical Res Imaging Ctr - 426001 Posting Open Date 05/15/2026 Application Deadline 07/07/2026 Open Until Filled No Position Type Postdoctoral
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interactions. The facilities include full-service histology, microscopy (fluorescent, confocal, and electron), tissue culture, animal surgery and imaging rooms, providing a rich scientific environment for basic
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Develop and apply operando diagnostic tools for aqueous battery research Design, perform, and analyze electrochemical and materials characterization experiments Use imaging and sensing techniques, including
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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
Please note that Garda vetting and/or an international police clearance check may form part of the selection process. Project: Statistical modelling & Medical imaging data analysis For an information
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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following