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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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, relevant artificial intelligence (AI) approaches such as CNNs and transformers, and protein structure predictions. The Kaelber lab is located in the Institute for Quantitative Biomedicine, home to several
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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composites and develop science; and engineering methods for designing, scaling, optimizing and controlling relevant manufacturing processes. These positions will be based at the Rutgers’ School of Engineering
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Familiarity with cleaning and managing large datasets. Strong writing skills. Preferred Qualifications Statistical skills applying artificial intelligence and data science for societal benefit in predictive
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to imposing institutional accountability for predictably inferior health outcomes for New Jersey’s vulnerable populations? How do public health deficits intersect with other institutions, such as housing policy