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generations of batteries. Studying phenomena of a very different nature (chemical, structural, morphological) operating on different time and space scales requires combining techniques in a multimodal and
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food and water security challenges in Africa, with a particular emphasis on the use of multi-source remotely sensed data. The center’s research aims to improve the understanding of surface processes and
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of atmospheric chemical species to better quantify emissions on regional to global scales through inverse analyses. She/He will also work on other issues related to global atmospheric chemistry, air quality, and
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- stratospheric geoengineering. We seek to develop a novel representation of stratospheric plumes which allows them to be accurately represented at global scales, and thereby inform efforts to understand potential
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
numerical approaches (e.g., Large Eddy Simulation, Direct Numerical Simulation, multi-scale process modeling) and laboratory wave tank experiments to explore turbulent seawater dynamics adjacent to ice
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About the Role We are seeking an experienced and highly motivated senior postdoctoral researcher in computational biology. The successful candidate will join a multi-disciplinary team working in
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equilibrium modeling in multi-component systems. Comprehensive use of characterization tools, including: SEM, TEM, HAADF-STEM, XRD, and EDS for micro- and nano-scale phase analysis. LA-ICP-MS for ultra-trace
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of electrochemistry, membrane science, and environmental engineering. Main Responsibilities Design and operate lab-scale BMED setups, including multi-compartment electrochemical cells. Test and characterize membranes
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and applied research supported by competitively won national and international funding, and commercial contracts with government agencies and industry. MaREI’s strengths lie in the multi-disciplinary
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, mathematics or related majors Job Description: The Postdoctoral Researcher will play a key role in developing and applying cutting-edge AI methods to analyze large-scale clinical datasets, including electronic