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Field
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analyzing publicly available data on employment, education and higher education residing in large federal data sets (e.g., Census data, NCES data). Conducts research and prepares project-related technical
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conductivity (e.g., laser flash analysis) to benchmark against application-specific requirements. Data collected will inform iterative process modifications and material improvements. 3. Experimental Design
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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But Degree (ABD) status will also be considered for interviewing. Strong applied quantitative data analytic skills and experience conducting statistical analyses with large databases. Strong writing and
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experience. Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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and cellular biology, assist in sorting platform development, perform molecular and in vivo characterization of sorted cells, analyze large-scale bioinformatics datasets to identify novel cell subsets
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
lifecycle (version control, documentation, and testing) Research experience with astronomical data analysis and large-scale astronomical survey datasets Special Physical/Mental Requirements Ability to sustain
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that address real-world challenges and deliver positive business outcomes. The Institute for Insight is equipped with a computer cluster that includes multiple GPUs, designed for big data analytics for both
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modify and develop new procedures to achieve research goals. Moreover, the incumbent will collect, process, and analyze field and laboratory data and help coordinate data collection and logistics. 60% (E