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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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. The project focuses on developing sustainable and optimized processes for the purification of industrial acidic and complex aqueous media through the selective removal and recovery of impurities to enable
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experimentation, modeling, simulation, and optimization of chemical processes. The successful candidate will work on the development of advanced process models combining experimental investigations with
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, anatomical, locomotor, and other behavioral data using appropriate computational and statistical methods. 5. Develops and optimizes experimental approaches to identify spared and reorganized supraspinal and
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mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
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scales from microchannels to full rack systems (5.) Develop physics and AI-based models to elucidate physics, perform optimization, and create surrogate models for system level simulators (6.) Participate
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a highly motivated Postdoctoral Researcher in Process/Chemical Engineering to contribute to advanced research in experimentation, modeling, simulation, and optimization of chemical processes
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of acidic and aqueous media, impurity separation, and materials characterization to join a cutting-edge research team. The project focuses on developing sustainable and optimized processes
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data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific
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projects focusing on hPSC differentiation, and modeling neurodegenerative diseases. ● Standardize and optimize advanced molecular and imaging assays ● Analyze complex multi-omic or functional datasets