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://kgfp.kaust.edu.sa/ Online Info Sessions for Prospective Candidates Join our upcoming online info session to learn more about the fellowship, eligibility, and application process. Details and registration
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and biostatistics, with expertise in mathematical and statistical modeling techniques including agent-based models, compartmental models, and network analysis. Previous experience in investigating
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skills. The Physical Science and Engineering Division (PSE) at KAUST encompasses five Academic Programs: Materials Science and Applied Physics, Earth Systems Science and Engineering, Chemistry, Chemical
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minority groups are particularly encouraged to apply. A successful candidate will be expected to teach relevant courses at the graduate level and to build and lead a research group of postdoctoral fellows
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· PhD in Materials science, chemistry, physics, polymer science, or related field · Strong background in ferroelectrets, piezoelectric materials, voided charged polymers or piezocomposites
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required. About the PSE Division and KAUST The Physical Science and Engineering Division comprises seven Degree Programs: Material Science and Engineering, Applied Physics, Earth Science and Engineering
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, https://www.nature.com/articles/s41586-024-07808-z ). Building on this work, this project aims to further expand our understanding of wheat domestication history and evolution by generating and analyzing
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spectroscopy, and PPMS. Use cleanroom nanofabrication processes to build 2D-material-based electronic devices. Design, execute, and troubleshoot experiments. Publish research findings in high-impact journals and
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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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