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The Associate in Research will be responsible for using and developing computational algorithms to analyze single-cell and spatial-omics datasets. Specifically, we have multiple projects where we are generating
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(Anthropic, OpenAI). Experience with graph algorithms or NetworkX. Familiarity with adaptive learning or educational technology. Experience with WebAssembly technologies (Pyodide, WebR). OAuth2 authentication
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Developing custom data models and algorithms for applied research Assisting with database design, development, and testing Supporting the setup and maintenance of data handling systems Ensuring data security
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different educational and technical backgrounds, including asynchronous summer review modules, a three-week, in-person programming boot camp, and a fall level-up for students with less experience with
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disease group. Educate patients on cancer type, how cancer is diagnosed, how cancer is treated and different provider roles on their care team. Requires understanding of scheduling guidelines across
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algorithms are creating new opportunities for Duke students and faculty, working together in multidisciplinary teams, to actively engage with and to change the world around them. These emerging areas, in turn
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research. The Rhodes Information Initiative is a driver of exciting data science, computing, and AI initiatives at Duke. Access to unprecedented amounts of information, computing power, and AI algorithms
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is diagnosed, how cancer is treated and different provider roles on their care team. Requires understanding of scheduling guidelines across the DUHS system as this position is responsible