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: 281113699 Postdoctoral Research Associate D-25-ECE-00003 | Research | Electrical and Computer Engineering The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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, France [map ] Subject Areas: Machine Learning / Machine Learning Statistics Mathematics Probability Statistical Physics Appl Deadline: 2025/12/20 11:59PM (posted 2025/11/25, listed until 2026/05/25
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and continued funding. Fellows in the postdoctoral track are not required or expected to teach, but if they wish, they may have the option of teaching. Teaching opportunities are subject to sufficient
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, proteomics, metabolomics), Capacity to develop and/or apply : Statistical or mathematical models Machine learning / AI methods Systems biology modeling approaches Research position The fellow will conduct
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faculty member who serves as a mentor for the postdoctoral appointee. Additional Department Summary: The Electrical and Computer Engineering Department at The University of Alabama is seeking candidates
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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department Advanced Biotechnology & Medic Salary Details A minimum of $61805 Offer Information The final salary
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Technician or Postdoctoral Fellow/Associate. Department Specific Criteria Must demonstrate a robust background in data science and machine learning, encompassing the application of statistical methods