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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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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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University. The successful candidate will work on the CMS experiment at the CERN LHC . The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector
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addition to employing standard genomic data analysis methods, the candidate will explore and apply new approaches leveraging Large Language Models (LLMs) for deep learning in genomics, where applicable. This position is
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interactions that regulate soil health in cropping systems. Research will include microbiome analysis of field samples, and microcosm experiments designed to elucidate novel methods for manipulating soil