32 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at King Abdullah University of Science and Technology
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the Mechanics of Composites for Energy and Mobility Lab. (MCEM, https://composites.kaust.edu.sa ). Field of study We are seeking a highly motivated Research Engineer to join our research lab and contribute
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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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capillary pressure, and data-driven, physics-driven machine-learning. Applications are sought for a two-year postdoc position, and will work closely with an industry partner. The position will include a
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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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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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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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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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devices while managing complex imaging datasets and integrating with machine learning systems. What You'll Do Build responsive web applications that work across laptops, workstations, tablets, and mobile