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processes, particularly in complex or technically challenging settings. To address these questions, the lab develops and applies new methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, as
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a postdoc to join its research team studying the political economy of low-carbon technologies (LCTs) and climate policy. The PET group adopts an interdisciplinary, mixed-method approach grounded in
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mutual agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen
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cutting-edge technologies to dissect these interactions: high-density microelectrode arrays (HD-MEAs) for large-scale electrophysiology, spatial transcriptomic methods, and human iPSC-derived neuronal
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using water-based processing methods. To accomplish these objectives, we aim to bridge key knowledge gaps, particularly in understanding the processes that stimulate the production of the polymers by
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for Biomedical Engineering develops Magnetic Resonance (MR) technology and methods to assess the cardiovascular system. We devise the next generation of diagnostic tools for quantification of blood flow, organ
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these inputs for device-scale structures, with methods such as DFT, currently poses a bottleneck in the application's capabilities. Project background The Computational Nanoelectronics Group was recently awarded
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continuous, high-frequency water vapor isotope measurements (δ²H, δ¹⁸O) in combination with eddy-covariance ET fluxes, we will develop more robust, less assumption-dependent methods to partition ET
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position on Nonlinear Topological Metamaterials The goal of this work is to develop novel methods for nonlinear wave manipulation and topologically-protected waveguides, and to demonstrate these methods with
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efficient computational methods. A particular focus is on the modeling of interfacial phenomena in process design applications. Our technological focus is on emerging technologies for the energy transition