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, and related fields. Preferred Qualifications: Experience in optimization methods and/or efficiency analysis (DEA, stochastic frontier, dynamic optimization). Experience with production function
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Postdoctoral Associate Postdoc Associate: Acoustic Abundance Estimation for eBird Integration Cornell Lab of Ornithology College of Agriculture & Life Sciences Cornell University Ithaca NY
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estimation methods (e.g., multiple imputation, FIML) and sensitivity analyses · Conduct apriori and post hoc power analyses · Communicate the findings of the above research in oral (e.g., conference
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design, FPGA-based components, transmit/receive electronics, system synchronization, and high-speed data acquisition. You will also develop signal-processing and image-reconstruction methods for
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, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Ability to select, implement, diagnose, and adapt parameter-estimation or statistical-inference
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distribution analysis, sampling techniques, hypothesis testing, and methods of interval estimation. Provide guidance for evidence-based institutional change. Manage personnel and budgets in a complex, multi
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online learning methods deployed in converters/drives so that fleets of motor applications (e.g., pumps, fans, compressors) can self-quantify and aggregate flexibility for grid services with formal
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trait databases to assess ecosystem response to environmental forcing. The primary research focus is AI-forward, experiment-driven. This position encourages leveraging AI/ML methods to assess plant
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Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine learning where it adds value. Design mechanisms for disruption risk estimation, proactive
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to learn in international large-scale assessments in education, (b) estimation and inference methods for weighted generalized structural equation models with mixed continuous and discrete data in