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Field
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 14 days ago
coatings. Evolution of concepts for synthesis of new or improved materials and composites having potential for use in high-performance aerospace applications. Computational and theoretical materials modeling
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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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cell models. Process human or mouse tissues and isolate, culture, and characterize primary cells. Develop bioengineered tissue models using hydrogels, microfluidics, organ-on-chip technologies
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process conditions, composition, structure and functionality of milk and whey proteins, and how these affect the quality, texture, stability and nutritional value of fermented dairy products. The work
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understanding of the interrelations between air quality, climate change, and human health, with expertise in atmospheric composition modeling, air quality forecasting, satellite-based PM2.5 estimation, and
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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ternary and quaternary compositional spaces to provide experimental benchmarks for computational predictive models. The work will include planning and carrying out experiments, maintaining detailed
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simple experiments to test and validate the developed architectures. Combine modelling and experimental results to understand how architecture influences the mechanical performance of the composites. You
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research on advanced nanomaterials for polymer, metal, and ceramic composite systems. The successful candidate will develop scalable processing approaches for incorporating one-dimensional (1D) and two
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. Develop and validate models for the acoustic scattering properties of mixed-composition seafloors. Use acoustic scattering models to identify signal processing strategies for seabed characterization