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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 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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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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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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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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different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue function. As a Postdoctoral Researcher at the Rosalind Franklin
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internationally recognised for its research in craniofacial biomechanics. Located in UCL Mechanical Engineering and supported by state-of-the-art imaging and material characterisation facilities, the lab focuses
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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
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MD degree. Must have relevant background in Biological/Biomedical Sciences or related Engineering field with a specific focus in cardiology, cardiovascular diseases, and cardiac imaging. Must have
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Apply Now Job ID JR101891Date posted 07/21/2025 The Chemistry Division is seeking a highly motivated postdoctoral research associate in the EPIP group. The successful candidate will use pulse
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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