25 postdoc-position-linked-data Postdoctoral positions at King Abdullah University of Science and Technology in Saudi Arabia
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opportunities to pursue innovation and economic development via startups. For further information about KAUST, postdoctoral life/benefits, Mishra’s group, SandX, etc., please visit: https://www.kaust.edu.sa/en
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of mineral deposits, it is probably the country with the most exciting mineral exploration opportunities right now. Conditions and life at KAUST Applications are sought for a two-year Postdoc position
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coral reef. KAUST’s campus sets exceptional standards for residences and recreational facilities . Expats at KAUST are very well looked after, and postdoc packages include free accommodation, relocation
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· Good publication record in peer-reviewed journals · Demonstrated ability to work independently and as part of a team · Proficient in written and spoken English · Able to start the position
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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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of lithium-ion battery recycling. The focus of this position is on material recovery from cathode materials through a groundbreaking filtration and extraction processes. Key Responsibilities: Participate in
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This postdoc position is designed for a specialist in the fabrication and development of large-scale perovskite solar cells and modules. For this position, we are looking for a candidate with an
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Synthesis position in his research group. This position focuses on developing hard carbon materials derived from bio-based or non-bio-based sources, with applications in energy storage and other emerging
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This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we
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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