Postdoctoral Fellowships in AI & Medical Imaging

Job description

Description: We are recruiting three highly motivated Postdoctoral Fellows for NIH-funded positions to drive innovative research at the intersection of machine learning, medical imaging, and clinical data science. We offer a flexible, highly collaborative environment where fellows can dive deep into a specific domain or pioneer research across multiple fields. - Faculty Mentor: Yong Fan, PhD ( Yong Fan, Ph.D. – AIBIL) - Department: Radiology - Funding Source: NIH - Number of positions: 3 Key Research Areas (Candidates may focus on one or bridge multiple domains): Neuroimaging & Predictive Modeling: Develop advanced statistical and ML methods for large-scale neuroimaging to predict brain age, model disease trajectories, and discover neurological biomarkers. Functional Network Modeling & Deep Learning: Apply novel DL architectures and generative models to decode dynamic functional connectivity and brain network organization. CT Analysis & Urological Applications: Utilize computer vision and radiomics for automated segmentation, classification, treatment response prediction, and robust multi-site modeling in urological health. Qualifications: Education: Ph.D. in Computer Science, Biom...