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, data-intensive research team. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious
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virus interactions. Design, implement, analyze, and validate agent-based, ODE, PDE, stochastic, hybrid, or surrogate models, selecting the modeling framework appropriate to each scientific question
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Health, TriNetX, or similar oncology datasets. Knowledge of survival analysis, longitudinal data analysis, mediation analysis, latent class analysis, predictive modeling, machine learning, and causal
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scientific understanding. The Duke Eye Center's iMIND (Imaging, Modeling, and Intelligence for Neurodegeneration and Disease) research team is dedicated to leveraging advanced ophthalmic imaging, machine
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clinical settings. The postdoctoral associate will contribute to methodological development and applied research in machine learning, statistical modeling, natural-language processing, epidemiology
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engineering to computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops
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with hierarchical modeling and mixed effects models. Knowledge of survival analysis. Knowledge of machine learning methods. Other Requirements Application materials must include: Curriculum Vitae
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following research areas: Regenerative immunotherapy and CAR T-based approaches for tissue repair. The postdoctoral fellow will develop and apply cell-based therapeutic strategies, including CAR T approaches
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. We are recruiting postdoctoral fellows in the following research areas: 1. Regenerative immunotherapy and CAR T-based approaches for tissue repair The postdoctoral
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epidemiologic and biostatistical methods, including causal inference, survival and longitudinal modeling, and approaches for integrating multi-level and high-dimensional data. There will be opportunities