56 postdoc-in-thermal-network-of-the-physical-building positions at King Abdullah University of Science and Technology
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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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policies in particular with regards to costing, pricing and ethical compliance requirements; Manage the application process for Call for Proposals and ensure all proposal submissions are in compliance with
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particular with regards to costing, pricing and ethical compliance requirements; Manage the application process for Call for Proposals and ensure all proposal submissions are in compliance with KAUST policies
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airborne particle control (HVAC, AHU, CDA, PVAC) Chilled, waste and DI water systems Process gases and gas abatement Responsible for Gas Cylinder (toxic and corrosive) ordering, changes and ensuring safe but
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, and to build and lead a research group of postdoctoral fellows and graduate students. Faculty members enjoy secure research funding from KAUST commensurate to their level of experience and have
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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