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Field
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reducing demand. However, demand drivers are manifold, including technology advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies
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computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
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Description Your Responsibilities Participation in one or more research fields of the institute: Material modelling of e.g. fresh concrete, soil, biological tissue (aorta, skeletal muscles) Numerical
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computational model to capture the complex transport of gases, liquids, and charges in these porous structures, including the complex interfaces between them. Insights from the model will directly guide the
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participation in forms of collaborative policy making. Your angle will be to investigate how features of social structure (e.g., social networks, social influence) affect the success or failure of inclusive
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, transportation, and energy. Our work generally focuses on behavior modeling, instrumentation, and the study of the durability of the structures or products in question. A significant part of our research focuses
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dynamics of chromatin modifications required for transposon silencing. Project details This project aims to advance our understanding of small RNA-mediated chromatin silencing using advanced genomics and
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
planning and scheduling. In the furthermore, core works are envisioned in (c) initiating novel VLE design using foundational Digital Twin for Construction Safey (DTCS) components (e.g., city models, nD BIM
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retrieving, storing and organizing large amounts of sensor/equipment data. Experience in building data-driven and simulated models using advanced data analysis techniques, including predictive timeseries
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complementary approaches. It will begin with the creation of a clean, structured, and rich data platform, obtained through rigorous preparation and labeling. This database will reflect the variability