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/2026 Back to Search Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics Posting Number req26727 Department Biosphere 2 Department Website Link https
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, and post hoc support for laboratory studies and provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal
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chemistry, photophysics and biology, and seeks to simultaneously extract structural, dynamical and environmental information at the single-molecule scale. Within the framework of this position, the recruited
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intestine-on-chip models integrating multiple intestinal segments together with a functional enteric nervous system (ENS). The objective is to closely reproduce the structural, functional, and
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suspension by mixing the suspension with a surfactant. The foam is drained to remove unbound water, then dried without contact to obtain an ultra-porous fibrous structure with porosity greater than 96
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
biomanufacturing, elucidating metabolic dysregulation in human diseases, and innovating metabolomics and fluxomics technologies. The successful candidate will drive the construction of novel strains/pathways
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synthesis, computational chemistry, and advanced structural characterization of functional materials. The successful candidate will contribute to ongoing projects focused on understanding structure–property
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties
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the development of advanced materials from renewable bio-resources. Our mission spans from fundamental science, understanding structure-property relationships at multiple scales to applied engineering, creating
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-ray characterization, physics-based modeling, and AI-driven data analysis to accelerate the discovery and optimization of hierarchical metamaterials. The position involves conducting in situ