68 phd-position-in-data-modeling-"UCL"-"UCL" positions at King Abdullah University of Science and Technology
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university-level studies. We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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We are seeking postdoctoral researchers with experience in the field of lithium-ion battery recycling. The focus of this position is on material recovery from cathode materials through a
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-inspired approaches for modeling, designing, and predicting the response of composite systems. Responsibilities: Develop AI approaches for predictive multi-physics response of composites in Energy
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world for citations per faculty according to QS rankings and offers an unparalleled environment for innovation and research. For more information, visit www.kaust.edu.sa . About CREST The Center for Renewable Energy
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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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encryption, authentication, and secure data transmission Integrate AI/ML models into web interfaces with real-time inference capabilities Create data visualizations for 2D, 3D, and point cloud data
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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
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Modeling naturally fractured reservoirs is re-gaining interest in the Oil & Gas industry and academia for application in carbonate fractured reservoirs and unconventional reservoirs where natural
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) for analysis and prediction based on medical or biological imaging data Bioinformatics: methodology for the analysis, integration, and prediction based on high-throughput molecular data Biomolecular design