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rapidly changing priorities and have ability to quickly learn new skills. Must be detail-oriented, well organized with strong communication skills and ability to work in an interactive team environment
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, predictive modeling, machine learning, and causal inference methods. Experience with claims-based or EHR-based phenotyping, variable construction, treatment pattern analyses, healthcare utilization studies
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development of machine learning tools and their applications to medical imaging. Key Responsibilities: The Post Doctoral Associate will apply their technical skills toward the development, implementation, and
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independent scientific reasoning and problem-solving Learn and apply new experimental technologies and methodologies Contribute to high-impact research advancing lung biology and disease understanding Choose
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to learn. Outstanding problem-solving skills. Must adhere to strict safety requirements. Ability to work and communicate effectively in a dynamic group environment. Other Requirements: This position is
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learning Opportunity to support diverse and engaged student populations Innovative academic environment Comprehensive employee benefits and wellness resources Inclusive community that values diverse
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multidisciplinary team members and the broader scientific community. Contribute to a culture of innovation, collaboration, and continuous learning. Support Research Excellence Adhere to all institutional requirements
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culture of scientific rigor, reproducibility, research integrity, and continuous learning. Maintain accurate research records and ensure compliance with applicable institutional and regulatory requirements
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), sexual orientation, or military status. Duke University aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of
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connect people or ideas that are not usually brought together? Finally, add something about your interests, motivations, or working style that we would not learn from your CV. Career development statement