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representative microstructures or using an equivalent homogenized material model. The project therefore combines multi-scale modeling, large deformations, nonlinear viscoelasticity, and transient dynamics
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Machine Learning without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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energy systems model. By focusing on a few country test cases (e.g., US and South Korea), this multi-scale modeling framework will be used to analyze the interacting drivers for energy decisions across
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. For more information on the work of the group please see https://www.maynoothuniversity.ie/physics/our-research. This position is part of the CARINA project which is funded through a Research Ireland
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several major types of mobility modeling, with the aim of improving their respective efficiency and usage: four-step models, multi-agent systems and a mobility model developed in the PhD thesis of Louisette
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Quantifying the distribution of the energy flux through the solar atmosphere generated by ubiquitous multi-scale vortical plasma motions School of Electrical and Electronic Engineering PhD Research
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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spatial behavior, with particular emphasis on directivity. A significant focus is devoted to audio transducers in array configurations, especially in embedded systems and small-scale devices, including
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applications for a PhD-student (m/f/d; 65%, 3 years in first instance) to work on a large-scale €6m multi-site Wellcome-funded project. This position is suited for researchers who have finished or are about to