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models, and prepare joint publications. • Participate in cross-institutional training, seminars, and collaborative workshops to advance predictive modeling and sustainability research. • Contribute
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, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control the dynamics of microbial communities in time and space. Ongoing projects
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research focuses on developing and applying computational frameworks—including machine learning, nonlinear dynamical systems, and hybrid physics-integrated machine learning models—to predict, analyze
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dynamic functions of microbial communities. For this position, the major goal is to develop advanced computational modeling frameworks that combine physics and machine learning to predict, understand and
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oversee the work of junior staff and train or mentor others in clinical research tasks. This study aims to enhance, deploy, and rigorously validate the Duke Predictive Model of Adolescent Mental Health
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prevention of disease. The selected applicant will be assigned to between one and several projects within the lab at any given time. Duties include: · Develop Predictive Models · Data Integration and
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quality monitoring, drone surveys, digital twins and ecosystem service modelling to generate estimates of ecosystem functions and services provided by a living shoreline that is being constructed at Marine