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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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Developing online resources to support teacher development Coordinating with research partners to ensure consistent data collection Data analysis Coding interviews and other qualitative data sources
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code 1352 in salary range NOK from 610 000 - 680 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund. Oslo`s family
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applications for a 3-year Post-doctoral Research Fellowship (position code 1352). The position is affiliated with the research project APPROPRIATE – Licences to appropriate land for societal ends, funded by
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This role is full-time, fixed-term for 18 months. Closing date: 23:59 on 6th March 2026 Interview date: TBC By reference to the applicable SOC code for this role, sponsorship may be possible under
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0079 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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education projects Has published in reputable academic/scholarly journals Background in technology and ability to code in Python Ability to write academic papers Responsibilities: Liaison with school and MOE
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(e.g., pre-registered analytic plans, open sharing of analytic code, or involvement with registered reports) Experience using structural equation modelling to investigate patterns of covariation in
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 4 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0037-NPP-MAR26-LRC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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highly desirable. Knowledge on AI ML/DL coding applied to STEM / EELS data analysis automation is also needed. · Professional Experience: Previous research experience in an academic or industrial setting