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until the positions are filled. Application Materials Required: Further Info: https://sites.google.com/view/zougroup/home Quantum Center King Fahd University of Petroleum and Minerals Dhahran 31261
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. Website for additional job details https://apply.interfolio.com/180384 Work Location(s) Number of offers available1Company/InstituteKing Abdullah University of Science and Technology (KAUST)CountrySaudi
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Materials Spectroscopy (SMS) Laboratory, http://spectroscopy.kaust.edu.sa Institution: Division of Physical Science & Engineering, King Abdullah University of Science and Technology (KAUST) Thuwal, Saudi
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measurements and in the underlying physical models. Machine learning (ML) techniques can be exploited to identify common patterns in the data and augment the physical laws of wave propagation, leading in turn
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coarse grained reconfigurable arrays (CGRAs), virtualisation of FPGAs using partial reconfiguration, and accelerator support for machine learning. Postdocs at KAUST enjoy generous salaries and free
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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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research on the synthesis of nanomaterials for applications in energy and the environment. Apply at https://kaustforms.formstack.com/forms/hiring_yavuzlab for consideration. The positions are available
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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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on the synthesis of nanomaterials for applications in energy and the environment. Submit your CV at https://kaustforms.formstack.com/forms/yavuzlab_open_positions_form for consideration. The positions are available
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, an annual travel allowance, 30 paid vacation days, and other generous benefits. KAUST is a vibrant and international community, with many opportunities for social, sporting, and learning activities outside