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the tender. Preferential factors: Previous experience in Building Information Modelling; Previous experience in quality control (QC/QA) in civil engineering and/or construction fields; Previous experience in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and
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permafrost regions. By combining field data with mathematical and physical modeling, this international project aims to advance our understanding of the impacts of permafrost thaw beyond ecological tipping
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At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents the majority of immune cell
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biological samples. By controlling the physical interface between biology and measurement, we aim to generate structured, high-quality datasets that enable rigorous quantitative analysis and predictive
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Transferability, as well as Deep Learning for Complex Structures. These novel methods will be applied to practical tasks such as predicting European water storage, quantifying permafrost thawing, sea level budget