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membrane performance. Therefore, this objective of this research is develop efficient algorithms and models based on deep learning to accelerate the physics simulation for membrane relevant processes, which
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Reporting to the Director of Student Success Programs, the Learning Specialist serves as the primary point of contact for students when navigating their academic journey. The Learning Specialist
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computational mechanics and scientific machine learning. The successful candidate will work on the design of hybrid, physics-informed modeling and identification frameworks for complex dissipative material
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to validate on real samples an innovative genetic panel (4,849 SNPs) developed to infer distant kinship, integrating DNA analysis and machine learning. After testing on simulated genotypes, it will be applied
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances School of Chemical, Materials and Biological Engineering
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mechanics, finite element modeling, and scientific machine learning. The RSE will contribute to the design, implementation, and maintenance of open-source software libraries that integrate phenomenological