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of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors
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credit hours per semester (two courses), reflecting our strong emphasis on research. Faculty benefit from access to robust research resources—including WRDS, Bloomberg, CRSP, and DataStream—as well as PhD
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credit hours per semester (two courses), reflecting our strong emphasis on research. Faculty benefit from access to robust research resources—including WRDS, Bloomberg, CRSP, and DataStream—as well as PhD
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areas, such as AI/ML algorithms and theory. We also encourage applicants with a strong computer science background and research in applied AI/ML to apply. This is a 9-month tenure-track position located
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will be published in peer-reviewed journals and technical reports, and algorithms and models will be shared with stakeholders and the scientific and forest management communities. Engage with industry
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, national, international nursing, and professional organizations. Required Education and Experience: Bachelor of Science and Master’s Degree in Nursing, and a PhD or doctorate equivalent in an area
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emissions and soil health parameters. Results will be published in peer-reviewed journals and technical reports, and algorithms and models will be shared with stakeholders and the scientific and forest
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algorithms. Train, test, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure security, scalability, and maintainability of applications
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PhD in Social Work or closely related discipline for appointment at the Assistant Professor rank. DSW plus evidence of scholarly potential will be considered for appointment at the Assistant Professor
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Professor,Computer Science to begin Fall 2026. The department offers BS, MS, and PhD degrees in Computer Science, as well as BS and MS degrees in Geospatial Sciences. The primary responsibilities