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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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social, cultural, and sports clubs. About the Role The Centre for Democratic Resilience is seeking a Postdoctoral Research Fellow in Computational Social Science and Text Analysis to contribute to its
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Human Frontier Science Program (HSFP): Postdoctoral Fellowships Eligibility: A research doctorate (PhD) or a doctoral-level degree comparable to a PhD with equivalent experience in basic research
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Public Policy (STPP) program at the Gerald R. Ford School of Public Policy has recently launched the Michigan Science, Technology, and Public Policy (MiST) Fellowship program, which embeds fellows in
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Computer Science, Artificial Intelligence, Mathematics, Engineering, or a related field. Entry level candidates with demonstrated expertise in artificial intelligence (AI), machine learning, deep learning
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Postdoctoral Research Fellow in Computational Social Science and Text Analysis to contribute to its Higher Education and Democratic Resilience Programme. The programme examines threats to academic freedom
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Job Description Job Alerts Link Apply now Research Assistant (Computational Science and Machine Learning) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit
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scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond. As part of this programme, “Cross-cutting theme 1: Sustainable Societies
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Post ID: 039437 Post Summary**:- The Research Fellow will provide scientific and analytical expertise across the DISCeRN project, with a primary focus on the analysis and integration of social
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PhD degree in ecology, biogeochemistry, Earth/soil science, environmental science, hydrology, computer science, or related field Familiarity with soil carbon/element cycles Prior experience in at least