Conduct advanced research in statistics, data analytics, and machine learning with an emphasis on multimodal data fusion and predictive modeling for lung cancer risk assessment. Develop and evaluate statistical and AI-based methods for feature selection, biomarker identification, and risk prediction using heterogeneous biomedical data. Contribute to multidisciplinary research projects, identify emerging research opportunities, assist in the preparation of grant proposals and technical reports, and collaborate with faculty, investigators, and external partners. Provide technical leadership, mentor junior researchers as appropriate, and support the dissemination of research findings through high impact factor journals, presentations, and grant proposals.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree