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Posting Date: 11/01/2024 Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job
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Posting Details Position Information Posting Number PG191527PD Position Number 00101634 Position Type Post Doc FLSA Exempt Departmental Information Department ID 141901 - Computer Science
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Postdoctoral Associate Position on Blockchain and Machine Learning in the Dr. Kuo Lab at Biomedical Informatics and Data Science, Yale University New Haven, Connecticut (USA) About the postdoctoral
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Classification Title: Post Doc Associate Classification Minimum Requirements: Ph.D. degree in biomedical informatics/bioinformatics, computer science, data science, electronic/biomedical engineering
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National Aeronautics and Space Administration (NASA) | Houston, Texas | United States | about 1 hour ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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28 Aug 2025 Job Information Organisation/Company University of Massachusetts Medical School Department Human Resources Research Field Biological sciences Medical sciences Computer science
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0149-NPP-NOV25-ARC-Engineering How to Apply All applications must be submitted in Zintellect Please visit the NASA
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” prompt, please withdraw your application, and re-apply to upload your combined documents as one file. Job Summary The University of Texas at Tyler’s Department of Electrical and Computer Engineering is
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interdisciplinary teams (engineering, medicine, human factors, computer science) to prototype and evaluate medical support solutions for operational scenarios (e.g., spaceflight missions, remote medicine). Conduct
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and