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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED
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liquids and/or deep eutectic solvents for API synthesis; optimization of the process conditions with emphasis on reduction in use of organic solvents; controlling the conditions of the process and its
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-transport-layer engineering, dark-current suppression, metasurface integration, optical-field manipulation, and low-noise detector characterization. The successful candidate will translate optimized CQD
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research projects focused on cellular immunology and host responses to infection. · Develop and optimize advanced mammalian cell culture systems, including complex 2D and 3D cellular models. · Perform
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
chemistry, and flight-line optimization strategies to directly guide target site selection and campaign design for future PANGEA airborne deployments across tropical America and Africa. Data and Methodology
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supporting materials must be uploaded as PDF files so the document can be searched by Zintellect's search engine. Scanned items are not optimal for search engines. PDF must not require special certificates
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files so the document can be searched by Zintellect's search engine. Scanned items are not optimal for search engines. PDF must not require special certificates or passwords to open. Max file size is 10MB
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of energy materials Develop and optimize advanced X-ray optical concepts with emphasis on maximizing photon flux, transmission, stability, beam quality, and experimental flexibility Design next-generation
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applications, or transitions to faculty. The position is optimal for applicants wanting to a) link multi-omic patient results to mechanistic, causal biology; b) eager to integrate wet-lab experiments with
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developing, optimizing, or troubleshooting complex experimental or computational workflows. Experience working in a collaborative or multidisciplinary research setting. Experience mentoring or training