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Field
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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Postdoctoral Associate – Systems Neuroscience: In Vivo Imaging & Electrophysiology Location: Virginia Tech, Fralin Biomedical Research Institute at VTC (Roanoke, Virginia, USA) Lab: Shin Lab | Lab
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mathematical background Skills: Seismic station installation and operation, computer coding, seismic data processing, strong written and oral communication, experience with manuscript development, experience
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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science, computer science, computer engineering, electrical engineering, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 1 day ago
Processes, 0(1), 1–15. https://doi.org/10.1002/ppp.2271 Pecuchet, L., et al. (2025). Arctic and subarctic marine heatwaves and their ecological impacts. Frontiers in Environmental Science, 13, 1473890. https
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into actionable knowledge. The department’s research spans genomics, imaging, clinical informatics, and public health, with strengths in single-cell and spatial omics analytics, precision medicine, and AI-driven
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skills; and ability to understand and communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as
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. The Department of Cell Biology is looking for a postdoc candidate to conduct research on tissue morphogenesis using zebrafish as a model system. The candidate will ideally have a training in