20 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at King Abdullah University of Science and Technology
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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activities: · Understanding/simulating the diffusion paths and cavitation in thermoplastic liners. · Multi-physics simulation of the diffusion process in thermoplastic orthotropic composites
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Aquatic foods are essential for human nutrition worldwide, yet we still lack a comprehensive understanding of how their nutrient composition, availability, and consumption vary across space and time. Quantifying the spatio-temporal variability in their nutritional contributions—and integrating...
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Coral reef fisheries sustain the food security and livelihoods of more than 500 million people, yet decades of research warn they are under growing pressure. To safeguard their future, we must move beyond biology—integrating the economic and social realities that shape how people use and depend...
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This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we
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coral reef. KAUST’s campus sets exceptional standards for residences and recreational facilities . Expats at KAUST are very well looked after, and postdoc packages include free accommodation, relocation
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We solicit applications for experienced Agronomists for Professor Himanshu Mishra’s research Group in King Abdullah University of Science and Technology (KAUST), Saudi Arabia (https://interfaciallab.kaust.edu.sa ). Expectations: Our goal is to enhance the sustainability of growing food crops and...
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healthcare) where deep learning architectures, hierarchical learning models and representation learning can be truly impactful. The group strives to publish in top-tier ML venues such as NeurIPS, ICLR, ICML
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-inspired approaches for modeling, designing, and predicting the response of composite systems. Responsibilities: Develop AI approaches for predictive multi-physics response of composites in Energy