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Position Description An Associate in Research position is available in the Interpretable Machine Learning Lab ( https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in
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projects with researchers across Duke and other institutions. Applicants should hold, or expect to complete before the start date, a PhD in computer science, machine learning, natural language
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affiliations. Be You. Be Bold. Choose Duke. 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
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of computational biology, machine learning, and tissue biology. In this role, you will work closely with Dr. Yi Zhang and collaborators to develop and apply computational methods for analyzing
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signatures Experience applying computational and machine learning approaches to biological data Strong communication skills and ability to collaborate in a team-oriented environment Be Bold. About the
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, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine-learning approaches for understanding neural data and brain function. We are particularly
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analysis Familiarity with multi-omics data integration Experience applying machine learning or statistical modeling to biological datasets Experience working in cancer biology or related biomedical fields
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in healthcare research. In this role, you'll help architect scalable systems and high-throughput pipelines that support advanced machine learning, reinforcement learning, and foundation model research
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to the diagnosis, treatment, and/or fundamental understanding of human disease. Particular research areas of interest include the development and application of machine learning and artificial
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professionals throughout their careers. The AIPI program combines technical depth in artificial intelligence and machine learning with hands-on product development with strong connections to industry. The program