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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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Theory , condensed matter theory, theoretical physics, quantum photonic theory, AMO theory , Hard Condensed Matter Theory , High-temperature superconductivity , Information Geometry and Materials , many
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to the QS Rankings. Further information can be found at www.kaust.edu.sa. ONLY SELECTED CANDIDATES WILL BE CONTACTED BY E-MAIL.
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17 Mar 2026 Job Information Organisation/Company KAUST Department Physical Science and Engineering Division Research Field Engineering » Chemical engineering Engineering » Materials engineering
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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degradation, and connect them to cell- and pack-level safety performance. · Design model-based and data-driven frameworks for battery management systems, including health monitoring, early fault detection, and
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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, nutrition-sensitive food systems that can support global health in a rapidly changing world. We invite applications for a Postdoctoral Researcher experienced in Marine Biogeochemistry, Data Science and/or