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disinfection engineering, aerosol science, surface science, and data-driven modeling to address HPAI transmission via air, water, and surfaces. The successful applicant will be expected to play a central
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Cornell University, School of Civil & Environmental Engineering Position ID: Cornell-CEE-POP_TRANSP1 [#30993, #WDR-00055654_LKN] Position Title: Position Type: Non tenure-track faculty Position
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the rapid transition from AI-driven predictions to experimental validation and workflow optimization. We are seeking an experienced Lab Manager to build, lead, and operate this new Technology & Wet Lab Unit
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Research Scientist IV, Information Science (Extended Temporary) (Remote Work Available) Posting Number req25414 Department Information Science Department Website Link https://infosci.arizona.edu/about
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, particularly relating to groundwater and/or stormwater, organic contaminants, and engineered adsorbents. One or more years of experience with advanced data analysis and/or environmental modeling techniques
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to shape disease risk. Yet most clinical risk models ignore this exposome. In BEE, we will build explainable, physics-guided, GeoAI-driven models that: Predict acute and chronic NCD risks at the population
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closely with executive leadership, the HRBP leverages workforce analytics and talent insights to inform decision-making, guide governance processes, and implement data-driven retention strategies
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modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models and algorithms that integrate general and domain-specific knowledge with data
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an enviable and strong relationship with industry, including over 40 companies and individuals working in partnership as the Civil Engineering Institute (https://civil.gmu.edu/connections/civil-engineering