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to close contacts. Proposed PhD/MSc Chapters 1) Self-testing for influenza/COVID-19/RSV when symptomatic Data FluTracking Australia 2020-2025 Sample size >100,000 participants with multiple surveys/rows
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group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, indexes for interactive data analysis
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develop a comprehensive understanding of the various needs and interests that become inscribed in, or are left out of, technology-centred imaginations of future-care. While speaking to practical concerns
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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical
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plans, analysis, and presentation of data as well as other assignments related to scientific development (e.g. writing manuscripts, reviews, and supervising/teaching other fellows). Studies focus
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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to impart both scientific and methodological knowledge and offers the opportunity to regularly present doctoral projects in internal events and benefit from scientific exchange. You can find information
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to impart both scientific and methodological knowledge and offers the opportunity to regularly present doctoral projects in internal events and benefit from scientific exchange. You can find information
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Status: Open Applications open: 7/01/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Two PhD student scholarships
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of Chicago, and part of the Data Science and Learning Division at Argonne National Labs, develop and deploy cutting edge technologies to solve new challenges facing the scientific community and enable break