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Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Machine Learning Research Data Analyst, Ophthalmic Imaging, you'll play a
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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You'll Bring Required Qualifications PhD or equivalent doctoral degree (ScD, MD, DVM, or related terminal degree). Strong background in one or more of the following: Computer Vision Machine Learning
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quantitative and computational background Experience in one or more of the following areas is preferred:CT or other tomographic image reconstruction, medical image analysis, machine learning or deep learning
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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Date: Nov. 1, 2026 Application Review Begins: Immediately Location: Durham, North Carolina Work Arrangement: On-site Salary: $65,000 Research Program Description
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researchers, you will contribute to groundbreaking studies focused on juvenile dermatomyositis (JDM) and the role of type I interferons in disease development and progression. Your work will help bridge
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are similarly working on a different package of models. While project #1 will focus on a single high-priority species in a forecasting scenario, project #2 will focus on a larger number of species in a more
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, motivations, or working style that we would not learn from your CV. • One-page career-development statement. Describe the career you hope to build, the capabilities or experiences you would like to develop
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, measurement, and evaluation strategy, with a focus on cross-sector data infrastructure, linkage, performance measurement, evaluation, and continuous learning. Responsibilities: 1. Serve as a scientific partner