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cardiovascular treatments. In this role you will apply both machine learning predictive modelling and human genetic analyses of non-coding regulatory sequences to identify cell-specific targets for coronary artery
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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. The successful candidate will work closely with Dr. Michael Porter and collaborate with faculty, research staff, and students on projects focused on: Estimating and predicting the global competitiveness
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is to personalize care for pediatric patients suffering from chronic GI disease by improving diagnostics, predicting future disease complications, and identifying better disease biomarkers and novel
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interacting systems and predict solutions to issues impacting human health, well-being, and habitat. We collaborate across many disciplines to discover connections between health, information networks, security