21 structure-based-drug-design Postdoctoral positions at King Abdullah University of Science and Technology
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integrated sensors, SHM/NDT/Inline/Online. The Composites Lab develops and authenticates techniques to achieve better designs of composite materialbased structures. Much of this research is done in close
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of state-of-the-art bioinformatics pipelines; (ii) single-cell analysis, multi-omic analysis; (iii) spatial transcriptomics bioinformatic analysis. Learning and implementing Systems Medicine-based analysis
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potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus
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are insufficient. We believe it requires radically new approaches to realize the full potential of viral vector gene therapy and democratize these technologies in precision medicines. With an innovation ecosystem
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topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
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on the development and implementation of new workflows for the mineralogical and geochemical characterization of ore materials, using combined µXRF-mapping, SEM-based automated mineralogy, and laser ablation ICP-MS
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for the following research themes: Heterogeneous Catalysis Metal Capture from Water Electrochemical Water Splitting Process Design and Scale-up
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in KAUST with a core team of 19 scholars. Officially named Oxide and Organic Nanomaterials for Energy and Environment Laboratory (ONE Lab), we focus on nanomaterials design and development
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intelligence framework for RO systems. Candidates with background in conventional and innovative membrane-based technologies with data driven modeling approach are encouraged to apply 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