22 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions in Saudi Arabia
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, validation, and calibration is expected. The position is fully funded and initially available for up to three years but can be renewed based on performance. Our lab is embedded in the BESE division and part
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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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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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holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial
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environment. We are looking for like-minded scientists who are passionate about ML methodology and/or its potentially transformative applications in research and industry. The positions are fully funded and for
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, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. KAUST provides a highly collaborative research environment, and active engagement
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students, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. In addition, KAUST provides a highly collaborative research environment, 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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We are seeking postdoctoral researchers with expertise in hard carbon synthesis for energy storage applications. This position focuses on developing hard carbon materials derived from bio-based
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/Online. A project at the Composites Lab is characterized by the amalgamation of experimental and computational/modeling mechanics and encompasses people with very different backgrounds to ensure we capture