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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL
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, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems, Optimization, and AI • ML/AI
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predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
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and simulation modeling • AI/ML, foundation models, causal inference, and predictive analytics • Human factors, behavior science, and patient-centered design • Advanced computing and scalable algorithms
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both marine and freshwater environments to estimate distribution and abundance of fish and larger invertebrates and Cornell is at the forefront of the application of these methods in lakes. We are now
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species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify priority areas
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will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution
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. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution and abundance of fish and larger invertebrates and Cornell is at the forefront of the application
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experience in statistical modeling, who is also interested in or has experience with species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will
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experience with species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify