Post-Doc Research Associate
7 days ago
A postdoctoral associate position is available in the group of Dr. Tengfei Li at the University of North Carolina at Chapel Hill. The successful candidate will develop and apply advanced statistical and machine learning methods for infant cognitive prediction using large-scale multimodal neuroimaging data. The research will emphasize methodological innovation in statistical modeling, transfer learning, machine learning, model ensemble strategies, and interpretable artificial intelligence to improve prediction accuracy while ensuring biological interpretability. The candidate will contribute to building computational frameworks that integrate diverse imaging features, quantify uncertainty, and yield robust and explainable predictions of early-life cognitive outcomes. The postdoc will primarily work with Dr. Tengfei Li and collaborate closely with Dr. Weili Lin and Dr. Hongtu Zhu.
Required Qualifications, Competencies, And Experience
Familiarity with most of the following areas: transfer learning, machine learning, data harmonization, longitudinal data analysis, model ensemble, interpretable AI. Familiarity with programming languages: R, Python, or Matlab.
Preferred Qualifications, Competencies, And Experience
Strong organizational skills.
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