10 machine-learning-"https:"-"https:"-"https:" "Durham University" positions at Duke University
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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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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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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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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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on-site work is performed at Duke University in Durham, North Carolina. Appointment Term Initial appointment is for one year. Renewal may be considered based on project needs and available funding
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Analyst; 3–5-year relevant work experience for Quantitative Associate. Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques. Experience with database querying
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, agentic workflows, automation tools, or machine learning applications using enterprise-approved technologies. Experience training analysts or business users on analytics tools, dashboard sustainment
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extrachromosomal arrays. Conduct published behavioral paradigms, including but not limited to chemosensation attraction and avoidance behavior. Analyze behavior by Wormlab or other machine learning paradigms
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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