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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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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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Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based on autofluorescence (AF) imaging
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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
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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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& Decision Neuroscience Lab (https://www.konovalab.com/) led by the Principal Investigator and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
research outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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. The candidate is expected to have extensive experience with extracellular electrophysiology, immunofluorescence imaging, circuit tracing, behavioral testing and patch clamp recording. An important component of