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Field
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for sustainable living and green recommendation systems. Collect, organize, clean, and preprocess multimodal datasets, including textual, behavioral, contextual, and sustainability-related data, for AI modeling and
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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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large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual
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career opportunities in the information professions and a passion for graduate student mentoring for academic and professional success is necessary. Ideal candidates will also shape their teaching in ways
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shape the future of biological discovery through advanced genomic capabilities, expert support, and large-scale, AI-ready data resources. As a Department of Energy (DOE ) Office of Science user facility
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to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT / AIoT Security; Computer Vision; Computing & Big Data
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and biomedical big data. l Publish high-impact, peer-reviewed research in leading computer science, artificial intelligence, biomedical informatics, and clinical journals. l Design and conduct
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ticketing system, the candidate is expected to provide advanced support in computational science and engineering, big data analysis, machine learning, or any related field. Senior candidate should initiate
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Data (CRCD), which operates a large multi-thousand-core cluster with GPU co-processors and PhD-level consulting staff. Pitt ECE also leads the NSF Center for Space, High-performance, and Resilient
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Data (CRCD), which operates a large multi-thousand-core cluster with GPU co-processors and PhD-level consulting staff. Pitt ECE also leads the NSF Center for Space, High-performance, and Resilient