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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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when a model drifts out of distribution. LEMMA tackles these bottlenecks head-on. By fusing vision-language foundation models, visual & natural-language explanations, and out-of-distribution (OOD
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Posting Information Posting Details Department Biomedical Res Imaging Ctr - 426001 Posting Open Date 07/14/2025 Application Deadline 07/18/2025 Open Until Filled No Position Type Postdoctoral
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of Professor Kaustabh Ghosh at UCLA and Doheny Eye Institute. With funding from the NIH and private foundations, the Ghosh Research Group is committed to developing effective therapies for vision-threatening
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Vision Group at the division of Signal processing and Biomedical Engineering develops intelligent systems for automatic image interpretation and perceptual scene understanding. Our research spans both
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(LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models Develop manifold learning (e.g., tSNE and UMAP), unsupervised clustering Analyze electronics health record
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. Our highly interdisciplinary, collaborative, mission-driven environment requires a creative, team-oriented individual, who will ensure high-quality operations and share our vision to successfully pursue
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on visual and perception and decision-making in complex environments, with a focus on medical image perception and Artificial Intelligence (AI). This position offers hands-on experience with behavioral, eye
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in