Duke University
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2 weeks ago
Postdoctoral Associate in Machine Learning and Ophthalmic Imaging at Duke University Duke University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral Associate employment at Duke University; no stipend or funding amount is stated in the post.
Country
United States
University
Duke University

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About this position
Duke University is advertising a Postdoctoral Associate position in machine learning, artificial intelligence, ophthalmic imaging, and clinical data analysis at its academic medical center in Durham, North Carolina, United States.
The role focuses on advancing vision research through the development, validation, and implementation of AI models using multimodal datasets. Core work includes organizing and curating large-scale ophthalmic imaging data such as OCT, OCTA, and ultra-widefield fundus imaging; preprocessing and annotating images; building structured databases; and supporting reproducible data workflows.
The post also involves machine learning and deep learning model development, including dataset preparation, training/validation/testing workflows, hyperparameter optimization, experiment tracking, and performance evaluation using metrics such as AUC, sensitivity, specificity, precision-recall analysis, and ROC curves. The successful candidate will help integrate imaging-derived biomarkers with clinical, genetic, and cognitive datasets, and contribute to statistical analysis, figures, manuscripts, abstracts, and presentations.
Preferred experience includes novel ML architectures, multimodal modeling, and explainability methods such as saliency mapping and Grad-CAM. The post emphasizes collaboration with clinicians, researchers, statisticians, fellows, residents, and students, plus support for regulatory compliance, data security, and reproducible research pipelines.
This is a postdoctoral opening; no specific deadline, stipend, or tuition funding is stated in the post. Applications should be submitted through Duke’s careers portal using the provided job link.
Funding details
Postdoctoral Associate employment at Duke University; no stipend or funding amount is stated in the post.
What's required
Postdoctoral-level research experience is implied. Preferred advanced experience includes implementing novel machine learning architectures, emerging AI methodologies, multimodal modeling integrating imaging, clinical, and genetic data, and model explainability techniques such as saliency mapping and Grad-CAM. Ability to contribute to study design, hypothesis development, validation strategies, and scientific communication is preferred.
How to apply
Apply through the Duke careers portal using the provided job link. Review the posting and submit an application via the university hiring system.
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