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Associate are as follows with time allocation: Model development and evaluation (70%) - Analysis and quantification of methane data from chambers and predictions from the CNCPS, sensitivity around inputs
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performance. The project aims to advance an interdisciplinary analysis of the implications of emerging technologies for Monitoring, Reporting and Verification (MRV) applied to GHG emissions reductions in
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open-access dataset of tutoring (the Million Tutoring Moves [MTM] dataset) and open-source libraries to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO
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Associate are as follows with time allocation: Model development and evaluation (70%) - Analysis and quantification of methane data from chambers and predictions from the CNCPS, sensitivity around inputs
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(the Million Tutoring Moves [MTM] dataset) and open-source libraries to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO will be tasked with creating open data
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excellent quantitative skills, including probability and data analysis. Anticipated Division of Time • Research (80%) • Publication & Presentation (10%) • Project Management & Mentorship (10%) Requirements
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Experience in computational methods and statistical analysis. A track record of both independent initiative and effective teamwork. Clear argument for alignment with career trajectory/goals. Additional
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research through data acquisition and management, econometric analysis, writing, and dissemination of results. The candidate is expected to publish in leading scholarly journals in veterinary medicine
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, and human systems. The initial appointment is for a year with the opportunity to extend based on performance. Anticipated Division of Time: 80% Research, 15% Data Analysis, 5% Writing Requirements: Ph.D