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including key components such as cell configurations, flow channels, electrodes, membranes, and catalysts for HER and other electrochemical processes. • Conduct CFD and electrochemical simulations
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
hours per week Work Schedule Monday thru Friday Pay Rate Minimum Experience/Education This position requires a PhD in Biology, Genomics, Computer Science, or a similar field. The postdoc will report to
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colleagues and their students/postdoc at the Ohio State University (Dr. Jill Leonard-Pingel), the University of California Berkeley (Dr. Seth Finnegan), and the Smithsonian Tropical Research Institute (Dr
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
at Charlotte is interested in the molecular mechanisms of genome integrity and cancer etiology using Xenopus egg extracts and mammalian cells as model systems. In particular, the Yan lab has made contributions
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-generation seismic design and post-earthquake evaluation procedures. Key Responsibilities: - Synthesize knowledge from past experimental tests and high-fidelity models of structural steel components
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(hiPSCs), cardiomyocytes, metabolism About the project We are recruiting a postdoc (established or newly graduated from their PhD) who has an exceptional ‘can-do’ attitude, with drive and enthusiasm to push
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computational models to simulate and analyze normative behaviors in various contexts. Data Collection and Analysis: Design and implement empirical studies, including data collection, statistical analysis, and
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programming languages such as Python, C++, and MATLAB for spacecraft modeling and simulation. Experience with simulation environments and tools used in space research (e.g., GMAT, STK, Gazebo, ROS). Experience
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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, and utilize the state-of-the-art multi-scale atmospheric models, along with measurement and statistical approaches, to understand the mechanisms that drive the climate-air quality interactions, and