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Field
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the future of pediatric oncology, neurodegenerative disorders, and sickle cell disease. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm
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and implements dynamic models, including machine learning algorithms, to optimize student-centered outcomes. Creates clear and actionable visualizations and dashboards using tools such as Power BI
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. - Experience using ETL processes, APIs, or custom scripts for academic applications. · Experience with machine learning algorithms and predictive modeling. · Familiarity with statistical methods (e.g
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well as an integral member of the AI Lab and the research community it supports. You will work with a diverse group of faculty, postdocs, and students from multiple disciplines. If you are passionate about advancing AI
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilize computational approaches to generate
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| Computer Science and Engineering The National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Imageomics Institute is seeking to hire a Research Technician 1 to provide algorithm development
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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other constituencies. Develop and maintain supporting documentation of measurement methods and algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit
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EmoRoom (Emotion + Classroom), an interactive visual analytics system to analyze and summarize student emotions from classroom videos, using emotion recognition algorithms and intuitive visualizations