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, or advanced bioinformatics. Experience in brain tumor research and patient-derived models is preferred but not required. REQUIRED SKILLS Experience developing or utilizing advanced spatial multiomics
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education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human
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researcher position with an anticipated duration of 16 months, to work under the direction of Dr. Melissa Lucash. In our lab, we use a variety of tools (e.g. big data, spatially explicit simulation modeling
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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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will develop advanced modeling capabilities to quantify and predict the responses of coastal ecosystems to disturbances caused by flooding and SLR. Ultimately, this effort will inform the development
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, particularly single-cell RNA sequencing, spatial transcriptomics, and related approaches. Our research group uses single-cell genomics to study immunity at mucosal sites, with a focus on the lungs and
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Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University
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resources, a real-time coastal processes numerical modeling framework, and data management and dissemination infrastructure. Job Duties The postdoctoral scholar is responsible for independent and
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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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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns