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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 minutes ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 07/22/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
Postdoctoral Research Associate to focus on computational neuroscience. Minimum Education and Experience Requirements PhD or MD. Required Qualifications, Competencies, and Experience Advanced knowledge
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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data analysis/spectral image processing. Use of data analytics or machine learning to guide process design and optimization. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long
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related field* Experience with multi-modal medical image registration Computer programming skills (e.g., Matlab, Python, C++) Strong academic record, evidenced by publications in peer-reviewed journals and
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. Candidates must have: Ph.D. in Physics, Biophysics, Biomedical Engineering, Nanomedicine, or a closely related field. Minimum of 2–3 years of postdoctoral experience in advanced fluorescence microscopy, single
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research team including experts at NYUAD and Cleveland Clinic Abu Dhabi with a demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. 2) Using Advanced Imaging