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Field
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. The PhD candidate, funded by the UKHSA, will work with the IID3 study team and the UKHSA using study data. The aim is to understand how laboratory methods can affect the detection of pathogens and how
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efficiency, and leverages technology, data, and emerging tools—including AI—to streamline processes, enhance communication, and improve the student experience. The successful candidate is curious
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resource for University wide CRM and Data Integrity committees around student data. Provide technical feasibility input as well as assisting in the evaluation and implementation of new software components
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support clinical educational simulations, intelligent tutoring, clinical research analytics, and personalized learning experiences. Develop scalable backend services, data pipelines, and secure application
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projects related to communication, outreach, data analysis, workshops, academic innovation, presentations, and social media. Develop resources and guides geared at helping students prepare for
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projects related to communication, outreach, data analysis, workshops, academic innovation, presentations, and social media. Develop resources and guides geared at helping students prepare for
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projects related to communication, outreach, data analysis, workshops, academic innovation, presentations, and social media. Develop resources and guides geared at helping students prepare for
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. Doctoral students will be using data from the large-scale, national and international data sets supported by the National Science Foundation (NSF) and other federal agencies. The fellowship will cover a wide
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IT's institutional initiatives and external-facing commitments (e.g., conference or community presence), with a focus on producing AI-assisted materials, data, or analysis rather than general event
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School of Public Affairs (SPA). The primary purview of the position is to support the development and execution of a comprehensive, data-driven, online recruitment strategy, manage the application