71 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at Cornell University
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would be on the development of novel methods to solve game theoretic models in natural hazard loss insurance modeling and in the optimization of municipal land use decision-making for risk management. To
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on the candidate’s background, but may include: Developing new transportation modeling methods, including dynamic traffic assignment, AI-enhanced forecasting, optimization, or simulation-based analysis Building and
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occupancy estimation using eBird and acoustic detections Developing approaches for using eBird data to inform detection thresholds for acoustic detection models Developing approaches to convert acoustic
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-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we
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methods and software, including uncertainty methods, spatialized approaches, and integration with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm
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appropriate methodologies (20%) Modify system setup and process protocol to enhance robustness and efficiency (15%) Model process performance and conduct validation studies (15%) Document results and prepare
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%) • Modify system setup and process protocol to enhance robustness and efficiency (15%) • Model process performance and conduct validation studies (15%) • Document results and prepare reports and papers
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Position Description Department of Biological & Environmental Engineering Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and
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lead analysis and integration of household-level socioeconomic data with production, herd dynamics, and methane emissions datasets to develop and evaluate a dynamic simulation model of smallholder dairy
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with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm models with explicit modeling of soil processes and plant growth. Familiarity with system