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from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed energy deposition technology and
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experience in data-knowledge fusion-driven dynamic modeling of complex structures, specializing in uncertainty quantification of nonlinear systems and intelligent model order reduction methods, with at least
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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a strong background in measurement theory and statistics, demonstrating mastery in structural equation modeling and item response theory methods. As a key member of our research team, the successful
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, multilevel and multidimensional measure of structural racism. The ideal candidate should possess a strong background in measurement theory and statistics, demonstrating mastery in structural equation modeling
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data (e.g. DFT, MP2) and experimental data into AI-driven pipelines for structure–property learning and reactivity prediction. Applying AI models to real-world problems in virtual screening, ligand
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mentor for the postdoctoral appointee. Additional Department Summary: The Alabama Center for the Advancement of Artificial Intelligence at The University of Alabama is seeking candidates for two
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experience 17% Superannuation and Flexible Working Arrangements Based at the RMIT Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT's Materials Modelling and
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the project: 1. Wave Stochastic Analysis and Hydrodynamics Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures. Analyze hydrodynamic behavior of floating
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the expertise in repair and rehabilitation of structures with advanced materials, construction-grade waste materials and experience in experimentation and modelling of structures or structural elements. This all