40 postdoc-sensor-networks positions at King Abdullah University of Science and Technology
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@gmail.com or upload an application. As a KAUST postdoc or researcher, you will have access to state-of-the-art research facilities. You will work in an exciting international environment with researchers
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structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline/Online. The Composites Lab develops and authenticates techniques to achieve better designs of composite
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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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variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline/Online. The Composites Lab develops and
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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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, please contact pwonka@gmail.com or upload an application. As a KAUST postdoc or researcher, you will have access to state-of-the-art research facilities. You will work in an exciting international
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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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for data streams from oceanographic autonomous vehicles, remote sensor sites, and various other instrumentation into the database. Develop interfaces to distribute scientific data sets to adjoining systems
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holobionts and/or ecosystems Spearhead the development and application of quantitative models for organismal or systemic networks, across a spectrum of marine life, that can include, for example, microbiomes
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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