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written Communication Skills. Certificates/Credentials/Licenses M.D. or PhD Required Computer Skills General office suite, GraphPad-Prism, Endnote, Snapgene, and willingness to learn lab specific software
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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hazardous process gases. Mentor PhD students and contribute to the coordination of experimental activities across the project. Engage regularly with industrial sponsors, including presenting results, defining
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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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for analysing spatial omics and histology data from kidney tissue integrate imaging and molecular data to study how spatial patterns within tissue relate to graft health and disease work with clinical
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significance of bioluminescence. We will also apply a range of advanced imaging techniques to visualize the light organs and their innervation. The successful applicant will be part of a highly interdisciplinary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
comprehensive neurovascular research program by contributing to imaging and clinical data acquisition, anatomic and procedural labeling, and support other aspects in the design and execution of translational and
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This position offers the opportunity for a recent PhD in art history or a related field of visual study to enter the field of academic museum education. At the Herbert F. Johnson Museum of Art, we
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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