17 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral research jobs at King Abdullah University of Science and Technology in Saudi Arabia
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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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, nutrition-sensitive food systems that can support global health in a rapidly changing world. We invite applications for a Postdoctoral Researcher experienced in Marine Biogeochemistry, Data Science and/or
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at the Mechanics of Composites for Energy and Mobility Lab. (MCEM, https://composites.kaust.edu.sa ). Field of study A Postdoctoral opening is available in the area of Insitu Multiphysics
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achievement that will benefit the region and the world, KAUST has the mission of exemplifying the future of world-class research. More details are available at www.kaust.edu.sa . For more information, see the
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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
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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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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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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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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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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