40 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Babes Bolyai University" Postdoctoral positions at Texas A&M University in United States
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languages such as R, Python, Matlab. Familiarity with software development best practices (e.g., unit testing, version control). Familiarity with inferential statistics and machine learning. Expertise in
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month Automatic enrollment in the Teacher Retirement System of Texas Health and Wellness: Free exercise programs and release time Professional Development: All employees have access to free LinkedIn
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activities, pilot projects, and proposal development. Produces publications, conference papers, and other research outputs, according to agreed objectives, and attends and presents research findings
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release time Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more Educational release
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vacation each month Automatic enrollment in the Teacher Retirement System of Texas Health and Wellness: Free exercise programs and release time Professional Development: All employees have access to free
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System of Texas Health and Wellness: Free exercise programs and release time Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support
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Wellness: Free exercise programs and release time Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences
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month Automatic enrollment in the Teacher Retirement System of Texas Health and Wellness: Free exercise programs and release time Professional Development: All employees have access to free LinkedIn
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machine learning techniques, both data-driven and physics-informed, with mantle convection modeling to investigate planetary evolution and habitability. This is a one-year position with the possibility
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) invites applications for a Postdoctoral Research Associate position. The successful candidate will lead the development of ocean models, building upon existing modeling frameworks established by the group