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Field
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related field by the start date. Strong background in atmospheric/air quality modeling with 3D chemical transport models (e.g., CMAQ, CAMx, WRF-Chem, GEOS-Chem). Experience working in high-performance
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the impact of persistent chemical contaminants on immune tolerance mechanisms in type 1 diabetes using 3D models based on perinatal stem cells and human pancreatic islets" Type 1 diabetes (T1D) is an
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Extensive experience with high-vacuum equipment Experience in 3D modelling and design using AutoCAD or comparable software Experience in simulating ion trajectories in ion-optical systems using SIMION
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extracellular matrix biology, biomaterials, hydrogel systems, 3D culture, tissue engineering, or disease-relevant cell–matrix models. About the School The School of Physical and Chemical Sciences (SPCS) at Queen
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
Qualifications, Competencies, and Experience 1-5 years of experience in Biomimetic in vitro hydrogel platforms synthesis and characterization, tumor microenvironment modeling, LNP synthesis, functionalization
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-saving research on vaccines and infectious diseases. The Tran Lab is seeking a motivated Postdoctoral Fellow. Primary Duties Develop human endothelial cell models for studying IgG recycling, catabolism
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on advanced perception and scene understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling
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animal models and human participants. Particular emphasis will be placed on identifying translational motor features that can be robustly and consistently quantified across species, including movement
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well as exploring the application of research findings to advanced 3D models such as organoids and 3D bioprinted tissues Learning about high-content, automated phenotypic drug screening pipelines against high
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and evaluating efficacy in animal models. The selected candidate will develop 3D biomodel of the human nasal cavity based on imaging data obtained from human diagnostic scans. He/she will also