45 postdoc-signal-processing positions at King Abdullah University of Science and Technology
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coral reef. KAUST’s campus sets exceptional standards for residences and recreational facilities . Expats at KAUST are very well looked after, and postdoc packages include free accommodation, relocation
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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TheElectricaland ComputerEngineering (ECE) Program within theComputer, Electrical, and MathematicalSciencesandEngineering(CEMSE)DivisionatKingAbdullahUniversityof Science and Technology (KAUST) invites applications for faculty positions at the Assistant Professor level (exceptional candidates at...
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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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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, 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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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 position
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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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university-level studies. We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is
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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