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potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus
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domestication by analyzing genomic data from wild wheat relatives (https://www.nature.com/articles/s41586-023-06389-7 , https://www.nature.com/articles/s41586-024-07808-z ). Building on this work, this project
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· PhD in Materials science, chemistry, physics, polymer science, or related field · Strong background in ferroelectrets, piezoelectric materials, voided charged polymers or piezocomposites
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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
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of their Ph.D. degree (up to one year into the future) are also encouraged to apply. PhD awarding university must be ranked in the QS Top 500 (2025 edition ) Essential Knowledge & Skills In-depth knowledge and a
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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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family of printable high-gauge factor wireless sensors by building and extending our related background intellectual property. Responsibilities : Collaborate with the development of a new family of RFID
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spectroscopy, and PPMS. Use cleanroom nanofabrication processes to build 2D-material-based electronic devices. Design, execute, and troubleshoot experiments. Publish research findings in high-impact journals 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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of a team while building the foundation of their own research independence. What we offer: Conduct cutting-edge biomedical research in a state-of-the-art environment. Access to supreme core facilities