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members and be responsible for contributing to: Manuscripts, reports, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population
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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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a year with the opportunity to extend based on performance. Anticipated Division of Time: 80% Research, 15% Data Analysis, 5% Writing Requirements: Ph.D. in Biochemistry, Chemistry, Molecular Biology
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to: Manuscripts, reports, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received
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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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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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, analysis, architecting, and design is desirable. Smart, Connected, and Healthy Communities: Smart Integrative Energy Systems The Ezra Systems Post-Doctoral Associate on the track of Smart Integrative Energy
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. The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and high luminosity detector upgrades (HL-LHC) of the pixel forward detector and the
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students and three different majors: Design + Environmental Analysis, Fashion Design and Fashion Design Management, and Fiber Science. The department also offers five minors: Design + Environmental Analysis
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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