261 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" Postdoctoral positions in United States
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Organization U.S. Department of Energy (DOE) Reference Code DOE-EERE-RPP-2025-Summer-MEF-Postgrad How to Apply To apply, click Apply at the bottom of this page. Connect with ORISE on the GO
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Immunology Posting Link: https://www.ubjobs.buffalo.edu/postings/59884 Job Type: Full-Time Posting Detail Information Position Summary Postdoctoral Associate positions on NIH-funded research projects
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to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification
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/coastalbiogeodynlab This position will remain open until filled. All employees are subject to adherence to the State Code of Ethics which may be found at https://portal.ct.gov/Ethics/Statutes-and-Regulations . All
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foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code
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Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2026-IN How to Apply Click on Apply below to start your application. Application Deadline 2/16/2026 8:00:00 AM Eastern Time
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this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy
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, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g., Datavyu), longitudinal data analysis (e.g., RI-CLPM, growth-curve analysis
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beneficial but optional experience and skills include multi-level modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring. For consideration, please click the link below to apply and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
(e.g., instruction tuning, domain adaptation, RAG pipelines), with evidence in publications, open-source code, or deployed tools. - Strong experience in LLM/genAI evaluation and benchmarking, including