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collide, condense and evaporate. Guided by the results from the field campaigns, a new Microphysics Informed Large-Eddy-Simulation (MiLES) model will be developed. The tested and verified MiLES will be
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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
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a scaffold, we aim to guide the growth of a chitinous fungal network through the material. The result would be a new class of living composite materials that are not only structurally resilient but
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Production Printing, combining polymer science, rheology, and computational modeling to create the inks and coatings of tomorrow. Information Printing is evolving toward sustainability, precision, and
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understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management. One the project outcomes is to explore
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: select and co-develop indicators and methods to assessing circular transition pathways and systemic change across environmental, economic and social dimensions; apply approaches like network analysis and
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Uganda. Building and extending a decision-analytic (Markov) model to estimate the cost-effectiveness of telemedicine with self-monitoring and community medication delivery, relative to standard care, from
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themselves. In this project, you will investigate whether and how large offshore wind farms influence precipitation. Using high-resolution numerical modeling, you will examine the physical mechanisms through
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for support in technology development. You will work closely with a PhD researcher at the German partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models