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documentation. Integrate BIM (Building Information Modeling) technologies to track and visualize building infrastructure. Ensure data accuracy and interoperability across multiple platforms, including GIS, CAFM
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assessment through fundamental and applied innovative research, teaching, and training in mechanistic and predictive toxicology and exposure assessment. As a research technician you will contribute
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and proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards. 5+ years of senior-level management experience leading large
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the national model for the engaged university: engaged with ideas and the world. Who We Are Situated in the heart of Virginia’s beautiful Shenandoah Valley, the city of Harrisonburg is a vibrant community with a
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. Develop standardized, technology-adapted licensing models and agreement templates (exclusive/non-exclusive, early- vs late-stage, spin-off vs industry), including IP valuation schemes. Design quantitative
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incorporated into models. Your work will help fill this critical gap, improving predictions of how grasslands will respond to future change. Your project will combine large-scale data synthesis, ecological
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., R Shiny, Plotly, Dash, Power BI) for communicating insights to clinical and policy audiences. D3 Familiarity with advanced analytical techniques, such as causal inference, predictive modelling
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Physics (CCQ) posted on the Flatiron Institute’s website at: https://apply.interfolio.com/178953 . The Visiting Scholar position will run for the full duration of the assistant professor position, i.e. up
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centers, including the Department of Population Health Sciences (DPHS). The Duke PopHealth DataShare™ (https://populationhealth.duke.edu/research/pophealth-datashare ) is a shared resource managed in DPHS
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Developing predictive analytic models to identify individuals with disabilities and older adults likely to use LTSS or transition across care settings Developing and implementing analytic approaches to measure