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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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. Develop sensing principles, data acquisition, and measurement systems. Upscale technology and validate its integration into a variety of structures, including structures for mobility, energy, and civil
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King Fahd University of Petroleum and Minerals, College of Engineering and Physics/ Physics Department/ Vogl group Position ID: King Fahd University of Petroleum and Minerals-College of Engineering
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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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, Sputtering or MOCVD systems for microelectronics and emerging sensor technologies. Key Responsibilities: Develop and optimize wafer-scale 2D materials, including TMDCs, MXenes, and MOFs, for microelectronics
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21 Jan 2026 Job Information Organisation/Company KAUST Department Physical Science and Engineering Division Research Field Engineering » Materials engineering Researcher Profile First Stage