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Field
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data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python. Develop physics-based computational models (e.g., finite element analysis) to complement
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environment in which you will collaborate with researchers working across nuclear engineering, naval architecture, electrical power systems, and maritime operations. The project is carried out in close
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, homology in early vertebrate development, dynamical modelling of developmental processes, genetic architecture and adaptation in early development, biological levels of organization, size-scaling in
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eligibility requirements: a) Bachelor’s degree in Polymer Engineering. b) Knowledge of textile materials and fibrous architectures, fiber extrusion and small-diameter pipes. 4.Workplan and objectives to be
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of AI/ML software libraries for non-conventional hardware architectures Physics-informed ML surrogates for efficient simulation ML-supported optimization of HPC software Jarli & Jordan/ UiO via Unsplash
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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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, free housing and subsidized medical insurance. For more information about living and working at KAUST, please visit https://www.kaust.edu.sa/en/live If you are enthusiastic about working at the forefront
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-efficiency requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market
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network and computing resources to compensate for the gap between physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures
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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply