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-matter interactions, development of automated AI/ML systems for novel materials processing and quality insurance. The lab combines additive manufacturing, large scale laser micro-processing, multiscale
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physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal, multiscale data
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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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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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characterization with multiscale simulation to understand failure mechanisms and improve safety at the cell, module, and pack levels. The successful candidate will contribute to research on lithium-ion and next
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of the following: electronic packaging, heterogeneous integration, thermal management, reliability, multi-physics and multiscale simulation. Demonstrated publication record in high-quality
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development. Job requirements We are looking for a highly motivated and independent postdoctoral researcher with a strong interest in multiscale modelling. The candidate should meet the following requirements
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of partial differential equations and applications. Other areas under active consideration are cosmology, multiscale and complex systems including interfaces with theoretical biology, computer science and
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, reliability, multi-physics and multiscale simulation. Demonstrated publication record in high-quality international journals and conferences. Experience working in multidisciplinary and international research
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candidate will develop a novel multiscale multimodal experimental apparatus with precise control during data acquisition, as well as work on data processing pipeline, adaptable to imaging of energy-conversion