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budgetary approval. 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 members of the University
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, assist in data collection, coding of data, and maintenance of research records and databases. Training Student Research Assistants: Collaborate with and oversee Bush School students on research projects
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collection, coding of data, and maintenance of research records and databases. Training Student Research Assistants: Collaborate with and oversee Bush School students on research projects, clearly explain
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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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to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: PhD in
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, retirement plans, and paid time off. To access 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
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 20 hours ago
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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methods for PDEs, strong hands-on experience with large codes written in Fortran 90 or C++ and MPI, and effective communication skills (written/spoken English) are required. Interested candidates should
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(http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience. DUTIES AND RESPONSIBILITIES We are seeking highly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 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