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Field
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operational conditions (New models based on real in-situ observations and mechanism). Microstructure manipulation for tailoring macroscopic response: Toughing mechanism using surface on involume spatial
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cut lung slices, transgenic rodent models, preclinical models of lung fibrosis, in vitro and in vivo testing therapeutic candidates, scRNAseq, spatial transcriptomics, confocal and electron microscopy
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Science and Engineering Division. The Composites Lab started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working
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quantitative ecology, applied statistics, or a related field with strong background in statistics and model development. Experience with R and analyzing spatial datasets. Ability to apply quantitative methods
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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar - Agrivoltaics systems analysis and modeling (JPF03056) Postdoctoral Scholar - Agrivoltaics systems analysis and modeling
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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state-of-the-art approaches including single-cell and spatial transcriptomics, circuit tracing and connectomics, and automated behavioral analysis. In close collaboration with the Verstreken and de Wit
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rational strategies for next-generation therapeutics. The Lu Lab develops 2D/3D spatialtemporal omics, spatial pharmacology, and computational/AI approaches to map, model, and reprogram how cells
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice
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that can serve as references for future studies, (ii) enhancing the understanding of physical mechanisms and causal pathways to strengthen attribution analyses and model development, build operationalized