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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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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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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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technology organization for the University of Washington, responsible for strategic planning, oversight, and direction of the UW’s IT infrastructure, resources, and services. UW-IT provides critical technology support to
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 26 days ago
almost 21,000 students coming from outside of the province. Our 6,000 faculty and staff foster a vibrant, purpose-driven community, that celebrated 200 years of academic excellence in 2018. Job Summary
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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
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datasets and use it to power a vision foundation model capable of accelerating discovery across the life sciences. We're seeking a skilled Data Engineer to drive scientific innovation through robust data
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the academic core and half serving in the clinical division—creates distinctive opportunities and considerations around operational alignment, technology deployment, workforce models, and compensation frameworks
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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 scale Identify vulnerable neighbourhoods and