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Field
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models. We focus on creating organoids with precise cell types, architecture, and functions that closely mirror their in vivo counterparts. Our mission is to harness these advanced models to unravel
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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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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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Spatial Temporality in Education Critical & Embodied Theories Qualitative Research Methods Oral History Critical Policy Analysis Candidates must have documented experience teaching the following courses
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the following directions: 1) Developing computational methods for integrating multi-modal data, such as scRNA-seq, scATAC-seq, spatial transcriptomics, ChIP-seq, and CRISPR screening. 2) Investigating context
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of developmental biology using mass spectrometry imaging (MALDI-MSI). The candidate will focus on applying the insights of spatial molecular imaging using MALDI-MSI to define the molecular basis for development in
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international users in water and food systems. Job Description: Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial
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driving cancer heterogeneity and progression by integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal regulatory interactions, (ii) modeling networks
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cell-derived embryo models would be desirable. Experience with advanced imaging techniques. Experience with single-cell transcriptomics. Familiarity with multi-omics techniques, spatial analysis