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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Position Location: Dhahran, Eastern Province 31261, Saudi Arabia Subject Areas: Quantum Computing Theoretical Physics / Quantum Condensed Matter Theory Condensed Matter Physics / Condensed Matter Physics
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Physics (completed within the last 5 years or near completion); strong background in theoretical condensed matter physics; experience with analytical many-body methods, field theory, and/or numerical
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, numerical simulators with coupled physics (flow/reactive/geo-mechanics/thermal) have been developed and often applied to predict the long-term fate of the injected carbon dioxide to ensure its secure
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking talented postdoctoral researchers with expertise in
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Physics » Computational physics Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 17 Sep 2026 - 23:59 (Asia/Riyadh) Country Saudi
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technologies. Key Responsibilities: Develop and optimize hard carbon synthesis processes using bio-based and non-bio-based precursors. Explore innovative methods to enhance material properties for energy storage
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-based precursors. · Explore innovative methods to enhance material properties for energy storage applications and other emerging technologies. · Conduct detailed structural, chemical, and
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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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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