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Field
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education institution. - Demonstrated experience in social media including Facebook, Twitter, Instagram, YouTube, LinkedIn, and TikTok as well as excellent understanding of algorithms and platform best
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, artificial intelligence, digital data, and GPS. The successful candidate should be prepared to develop and implement an independent research program that contributes to the development of economically viable
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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30
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utilization of resources to optimize care Participates in developing guidelines, algorithms, and care pathways to improve the care and safety of patients Participates in efforts to maintain TJC accreditation
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-dimensional data generated from emerging technologies and diverse platforms, author scientific papers on statistical methods and algorithms developed, and continuously expand expertise in statistical techniques
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intelligence, digital data, and GPS. The successful candidate should be prepared to develop and implement an independent research program that contributes to the development of economically viable solutions
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and algorithms. Train, test, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure security, scalability, and maintainability
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the Department of Biomedical Engineering at Duke University BIG IDEAs Lab’s overarching goal is to develop and test tools and infrastructure using biomedical and health data for early detection, intervention, and
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using the MTM dataset, and administers a mini-grants program to engage a wider community of researchers and EdTech developers. The work includes, but is not limited to: (1) working alongside the NTO's
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patterns of racial inequality. Beyond developing theoretical tools and empirical understandings of race and organizations, the class leverages wide ranging data and contexts to refine students analytic