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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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Coral reef fisheries sustain the food security and livelihoods of more than 500 million people, yet decades of research warn they are under growing pressure. To safeguard their future, we must move beyond biology—integrating the economic and social realities that shape how people use and depend...
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This postdoc position is designed for a specialist in the fabrication and development of large-scale perovskite solar cells and modules. For this position, we are looking for a candidate with an
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This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we
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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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» Applied physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 1 Oct 2026 - 23:59 (Asia/Riyadh) Country Saudi Arabia Type of Contract Temporary Job Status
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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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types of mineral deposits, it is probably the country with the most exciting mineral exploration opportunities right now. Conditions and life at KAUST Applications are sought for a two-year Postdoc
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collaboration with the surface-chemistry postdoc. Responsibilities Fabricate CQD infrared photodetectors using solution-processed thin films. Optimize device structures, transport layers, electrodes, and