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2 mathematics jobs found in Philadelphia

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Postdoctoral Positions Philadelphia mathematics
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University of Pennsylvania
Apr 29, 2026
Full time
Postdoctoral Fellow in computational neuroimaging
University of Pennsylvania Philadelphia, PA
Postdoctoral Fellow in computational neuroimaging Location: University of Pennsylvania - Perelman School of Medicine Open Date: Mar 06, 2026 Deadline: Faculty Mentor: Aristeidis Sotiras, PhD ( Aristeidis (Aris) Sotiras, PhD - AIBIL) Department: Radiology Funding Source: NIH Number of positions: 2 Two postdoctoral positions in computational neuroimaging and machine learning are available at the Center for Biomedical Image Computing and Analytics (CBICA), Radiology, University of Pennsylvania. The successful candidate will join a highly collaborative research environment focused on developing computational methods for analyzing large-scale neuroimaging and clinical datasets to better understand brain health and disease. The postdoctoral fellow will contribute to projects at the intersection of medical image analysis, machine learning, and clinical neuroscience, with opportunities to work in two main research directions: (1) Development...
University of Pennsylvania
Mar 28, 2026
Full time
Postdoctoral Fellowships in AI & Medical Imaging
University of Pennsylvania Philadelphia, PA
Postdoctoral Fellowships in AI & Medical Imaging Location: University of Pennsylvania - Perelman School of Medicine Open Date: Mar 26, 2026 Deadline: Faculty Mentor: Yong Fan, PhD ( Yong Fan, Ph.D. - AIBIL) Department: Radiology Funding Source: NIH Number of positions: 3 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. 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...
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