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-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation Machine learning
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-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation Machine learning
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linking psychological factors to health. Cutting-edge quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative
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what are the impacts on individuals, households, markets, the agri-food system at large, and the environment? MIXTAPE will leverage existing national datasets (including remotely sensed data) and will
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, or field settings. Experience with molecular biology techniques such as DNA extraction, PCR, or qPCR. Experience analyzing biological data using command line tools, R, SAS, or similar analytical software
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-time, post-baccalaureate program designed to prepare individuals wishing to apply for a PhD in Economics, Agricultural and Resource Economics, Development Studies, Public Policy, or a related field. The
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation
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information for grants Maintaining and tracking documentation required by funding bodies Supervisory and mentoring responsibilities (10%): Supervising and mentoring research staff, PhD students, or postdocs
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handling spatial data. · Strong analytical abilities and excellent written communication skills. · Ability to independently plan and execute research projects. · Strong collaborative spirit and