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Cell 2024), 3) Deciphering pathogenic coding and non-coding variants linked to congenital heart disease in a cell type-specific manner (Cell 2022), and 4) Combining iPSC-derived cells and single-cell
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0337-NPP-MAR26-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 372379 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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-wave). Ability to perform advanced complex network analysis (preferably with experience on NetworkX). Ability to obtain advanced graphics (e.g. seaborn). Code in Python, C and BASH. Why Texas A&M
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have a strong background in fundamental electrochemistry, with preferable hands-on expertise in computational materials science. The applicant should be well versed in code development, application of AI
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to assess evolving risks in coastal-urban regions. Other key responsibilities include: Mesh design and high-resolution data utilization. Develop and refine high-resolution barotropic ocean meshes along U.S
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0334-NPP-MAR26-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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| Electrical and Computer Engineering The Post Doctoral Scholar conducts advanced research and development at the AI Edge Institute for Future Generation Edge Networks with a focus on wireless networks and
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| Electrical and Computer Engineering The Post Doctoral Scholar conducts advanced research and development at the AI Edge Institute for Future Generation Edge Networks with a focus on wireless networks and
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and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in