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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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The Data Repository Lead will lead the development, launch, management and expansion of KAUST’s institutional data repository and its associated services, a core component of the University’s
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contracts and operator performance, ensuring that all operational elements align with organizational goals. Additionally, the role requires a solid understanding of medical insurance processes, financial
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data into solutions—protecting ecosystems and empowering communities worldwide. Expectations 1. Data Management & Analysis Develop, maintain, and optimize data pipelines for collecting, cleaning
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at the water–soil–plant interfaces of food crops and native trees in alkaline sandy soils. We invite agronomists, soil specialists, irrigation specialists, and experts in drylands agriculture to apply to broaden
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to candidates in the area of Mathematical Foundations of Data Science. All relevant areas to Applied Mathematics and Computational Sciences will also be considered, including but not limited to Applied Analysis
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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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serves the ACL mission to support research at KAUST and regionally by providing most advanced techniques and expertise for custom and routine chemical analysis in a user‐driven environment. The Technical
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developing and implementing Business Travel Guidelines, Policies, and Procedures. Monitor travel expenses and cost analysis through the use of the SAP Travel System Report. Generate a monthly Travel Expenses
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, Diffusion Models) ○ Proficiency in imaging formats (DICOM, NIfTI) and standards ○ Experience with X-ray CT scan analysis and processing ○ Strong Python programming skills with