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Field
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suboptimal thermal performance and energy inefficiencies. This programme focuses on the development of multiscale models that will improve our understanding of how microstructural changes in materials and
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for Multiscale Offshore Structures), which develops integrated AI methods for the analysis, design, monitoring, and control of floating offshore systems. Multi-modular floating structures are emerging as a
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physics and engineering. We specialize in algorithms and applied mathematics, data science and learning, high-performance computing, multiscale integrated modeling, and software technology. While our
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will be the Head of Department. About the project This PhD position is part of the WP4 Digital twin and asset management concerning multiscale wind simulation that involves modelling wind flow across
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. To fill-in this gap, you will use hierarchical molecular simulations to produce high quality thermodynamic, transport, and kinetic data that can be used for multiscale model development. We will focus both
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experience with thermal transport phenomena and simulations. • Experience with multiscale modelling approaches linking molecular structure to macroscopic properties. • Experience in high-performance
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; computational imaging; structural biology; additive manufacturing; concrete; multiscale imaging; multimodal imaging Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base
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the molecular composition of a single cell in space and time. These models will describe high-dimensional systems with many interacting components and may use multiscale and coarse-grained representations
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multiscale computational models that connect component-scale loading conditions with grain-scale degradation processes in polycrystalline metallic alloys. Particular emphasis is placed on understanding
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effects such as plasmon-phonon coupling that may be important for electronic nanomaterials. We propose to apply the CGF technique for multiscale modeling of thermal processes in the new 2D material systems