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innovative, technology-driven research in Infection Biology, Microbiomics, and Epidemiological Disease Modelling. Preference will be given to those with expertise and a proven track record in one
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seeking to expand research, higher education and innovations in the field of Marine Data Modelling and Integration. Applications for a faculty position at the rank of: Assistant Professor are invited from
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is to develop a modeling framework including the use of Random-Walk method to predict NMR measurements, pore-scale finite-element modeling on 3D digital models, generated from CT-images to predict
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: Docker, MLflow ○ Expertise in 2D/3D image segmentation, detection, and Stable Diffusion techniques (U-Net, V-Net, DeepLab) ○ Strong experience with Generative AI models (GANs, VAEs
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devices Design intuitive interfaces for AI model interaction and advanced image analysis Manage high-performance databases optimized for large-scale imaging datasets Implement security measures including
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educates students to analyse and model complex real-world problems arising in modern Statistical Data Science. We welcome applications in all areas of statistics and data science (statistical methodology
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, photovoltaics, porous materials for carbon capture and membranes, clean combustion, atmospheric modeling, new polymers and composite for smart materials and structures, catalysis and catalytic processes. KAUST is
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, fire detection and suppression. The candidate will be required to pass medical and face-fit tests required for some manual handling and maintenance tasks. Maintaining complex air handling units connected
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rigorous 3D modeling tool to model multiphase fluid flow within the wellbore using a computational fluid dynamics (CFD) solvers, such as OpenFOAM and Ansys-fluent. The model should account for thermodynamics
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of a suitable candidate. The main topics of the group in the past few years were generative modeling, 3D reconstruction, image-editing, and deep learning using 3D data. More information about the