2,526 engineering-computation "https:" "https:" "https:" "https:" "Lodz University of Technology" Postdoctoral positions in United States
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, genetics, and neurodevelopment, along with access to state-of-the-art imaging technology and advanced computational resources. The fellow will have structured opportunities for professional development
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potentially collaborate with his collaborators across the university and the medical and dental schools. We seek candidates with strong analytical, computational, and communication skills. While a background in
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to candidates with prior experience in one or more of the following areas: ecological (population) modeling, geographic information science, comparative genomics, chronobiology, insect rearing, and/or ecological
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Massachusetts Institute of Technology, Laboratory for Nuclear Science (LNS) Position ID: MIT-Laboratory for Nuclear Science (LNS)-RONALD2026 [#31496] Position Title: Position Type: Postdoctoral
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written), time management, project management, and presentation skills Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months 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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: 281522555 Postdoctoral Research Associate D-25-MAE-00004 | Research | Mechanical and Aerospace Engineering The group of Prof. Aditya Sood in the Department of Mechanical and Aerospace Engineering and the
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. Analyze complex imaging data using quantitative and computational approaches. Collaborate with a multidisciplinary team of neuroscientists, optical engineers, and data scientists. Present research findings
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Professor John Harlim and his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project
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questions related to any of the following: media studies and technology, popular culture, bioethics, gender, race, or religion and public life. Carleton is committed to developing its faculty to better