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include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural
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(LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models Developing manifold learning (e.g., tSNE and UMAP), unsupervised clustering Analyze electronics health record
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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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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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: Performs specialized research techniques and procedures related to phenotypic characterization of cardiovascular disease using available signal-based and imaging techniques. Compiles and analyzes data using
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We are seeking a talented, organised, and highly motivated individual to join the Department of Eye and Vision Sciences at the University of Liverpool as a Postdoctoral Research Associate, funded by
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at the Stanford University School of Medicine is seeking candidates for a Postdoctoral Fellow position to perform MRI research of the visual system for guiding vision preservation and restoration. This person is
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solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image