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for extracorporeal life support (ECLS) in animals. The student must have (1) a Biomedical Engineering PhD, (2) significant experience testing various anticoagulants during ECLS in animals, (3) experience writing and
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collaborations with other research groups within the project to collect responses from larger animal studies Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in
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by focusing on thermal sciences and physics for advanced energy related applications, design and fabricate novel material architectures, integrate them into functional prototypes, and explore
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through their work. You should demonstrate: Strong foundations in manufacturing, microfabrication, and microfluidics, extensive experience in experimental design and process development, and hands
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of the project is to detect cancer biomarkers from urine samples using advancements in synthetic biology. The postdoctoral researcher will be responsible for designing the sensors, the microfabrication process and
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combine everything from physics and chemistry to civil and electrical engineering. The Materials Science and Engineering Department at Carnegie Mellon is seeking a Postdoctoral researcher to work on the
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combine everything from physics and chemistry to civil and electrical engineering. The Materials Science and Engineering Department at Carnegie Mellon is seeking a Postdoctoral researcher to work on the
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well as familiarity with optical and fluorescence microscopy and common techniques of physical biochemistry. While the research is focused on biological sciences, the researcher will work in an automated science lab
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combine everything from physics and chemistry to civil and electrical engineering. The Materials Science and Engineering Department in the College of Engineering is seeking a postdoctoral scholar to join
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. Active research thrusts within the AiPEX lab include AI for complex physics-based modeling and simulation, AI for enhancing human performance and decision making, AI for advancing personalized learning