28 Computer-Science-"https:"-"https:"-"Data-driven-Materials-Modeling" Postdoctoral positions in Saudi Arabia
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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Professor; Dean of the Physical Science and Engineering Division; Chair of CREST), a Highly Cited Researcher in Materials Science and Fellow of MRS, APS, IEEE, NAI, IoP, RSC, and IMMM. About KAUST: KAUST is
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all aspects of these complex problems. In the Composites Lab, you will find skills ranging from theoretical mechanics, applied mathematics, and computer science to material science and chemical
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We are seeking a highly motivated postdoctoral researcher with expertise in battery safety, thermal management, and/or computational modeling. This position integrates rigorous experimental
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We are looking for a metallurgist to develop an alloy suitable for downhole sealing in the oil and gas industry. The candidate will be responsible for formulating, designing, and preparing an alloy that includes bismuth or other metals and materials known for their sealing properties,...
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equipment, research and recreational facilities, and computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can be found
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computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can be found at www.kaust.edu.sa .
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boasts world-class equipment, research and recreational facilities, and computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can
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, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply. Benefits Annual base salary USD 48,000 (tax-free
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, materials science, and industrially relevant processing. The candidate will lead efforts to understand structure–rheology–processability relationships, specifically focusing on interfacial phenomena