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Scale Tissue Atlas" project. -Duties include conducting research on image processing, image alignment, and instrument design and development for the funded projects. -This project will require expertise
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
to process the notes, EHR data as well as the images to advance the aims of the project. Mentors for the candidate will include Dr. Ashok Krishnamurthy and Dr. Matt Satusky from RENCI, Dr. Emily Pfaff from
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behavior assays, CNS trauma surgery, viral vector production, imaging, genomics, and biochemical assays. Qualified candidates are encouraged to apply via this posting and include a current CV including names
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and ex vivo cellular imaging, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional
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and processing strategies aimed at achieving high performance, cost-effectiveness, and manufacturability. The selected candidate will leverage the capabilities of the Materials Engineering Research
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qualifications include: Experience with radio interferometric observing, data processing, and imaging. Experience with modern machine learning / deep learning techniques and software packages. Experience with time
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, interdisciplinary team that uses cell biology, protein engineering, biochemistry, human immunology and molecular biology techniques to understand lysosomal dysfunction in rare genetic disorders. The successful
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informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
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engineering tools to develop risk-consistent design criteria for future infrastructure resilience. Reasonable duties will include documenting research processes, preparing manuscripts, assisting in reporting
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Number: JR89835 Position Summary The Integrated Biomedical Imaging Laboratory is seeking a Postdoctoral Research Associate interested in developing novel hybrid noninvasive imaging systems for studying