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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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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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Physics and Quantum Computing (Interdisciplinary Research Center for Advanced Quantum Computing, AQC). This center is headed by famous theorist Daniel Loss Qualifications: PhD in Physics (completed within
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. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits. The position will combine techniques from geological modelling, geostatistics, machine learning, 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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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
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» Physical chemistry Engineering » Materials engineering Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions PhD Positions Application
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited
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to the development of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc