33 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at King Abdullah University of Science and Technology in Saudi Arabia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, free housing and subsidized medical insurance. For more information about living and working at KAUST, please visit https://www.kaust.edu.sa/en/live If you are enthusiastic about working at the forefront
-
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
-
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
-
information about KAUST and postdoctoral life/benefits please visit: https://www.kaust.edu.sa https://www.kaust.edu.sa/en/live/community-life At KAUST, we attract people from all around the world who want
-
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
-
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
-
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
-
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
-
. 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
-
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