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and interfaces as part of the Hydrogen and Fuel-cell program at Lawrence Berkeley National Laboratory. This will include advanced electrochemical diagnostics of the polymeric separators, solid-polymer
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team environment, including backgrounds in biology, chemistry, earth sciences, statistics, physics, energy technologies, materials science, engineering, and computer science. Analyze and summarize data
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of patients around the world. The candidate will have access to the Genentech post-doctoral training program that provides an outstanding environment and the opportunity to pursue fundamental basic science
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, and techno economic analysis. Work in a multidisciplinary team environment, including backgrounds in biology, chemistry, earth sciences, statistics, physics, energy technologies, materials science, and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow-Electrical/Mechanical Engineering Division Academic Affairs Department College of Engineering (Col
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spatial analysis experience, and the ability to integrate climate, statistical modeling, remote sensing, and social survey datasets. The selected postdoctoral fellow will investigate: Mechanisms connecting
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earth sciences or engineering with research experience in geothermal energy. Proven capacity for innovative, creative scientific analysis Excellent data management skills Proven publication skills and
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of airway and brain disorders (JACI. 2020. 145 (5): 1469, J Exp Med. 2020. 217 (4)). The candidate should have strong interests in exploring novel immune cells and the mechanisms of human health and
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Lets do this. Lets change the world. A postdoctoral position is available to investigate the signaling mechanisms governing feeding behavior and energy metabolism at our global headquarters and research
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regulation mechanism of cancer biology/immunology in solid tumors, neural stem cells and cancer stem cells of brain tumor. The Chen lab has great expertise in combining computational with high-throughput