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to: Manuscripts, reports, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received
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open-access dataset of tutoring (the Million Tutoring Moves [MTM] dataset) and open-source libraries to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO
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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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, analysis, architecting, and design is desirable. Smart, Connected, and Healthy Communities: Smart Integrative Energy Systems The Ezra Systems Post-Doctoral Associate on the track of Smart Integrative Energy
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students, interact with collaborators, and adopt and optimize relevant techniques for the project where applicable. Professional development: 5% Requirements PhD in molecular biology, cancer biology
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for the project where applicable. Professional development: 5% Requirements PhD in molecular biology, cancer biology, biochemistry, tumor immunology, pharmaceutical sciences, and other life sciences is required
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science, technology, and outreach to improve animal welfare and farm performance. What You’ll Do: Collaborate on meaningful projects that connect animal health, data analysis, and human behavior. Design and
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. The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and high luminosity detector upgrades (HL-LHC) of the pixel forward detector and the
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open-access dataset of tutoring (the Million Tutoring Moves [MTM] dataset) and open-source libraries to facilitate processing and analysis grounded in principles of Responsible AI. In addition, the NTO
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your cover letter, including which Shima Seiki machine you operated, how long have you worked with the machine, and for what purposes/projects, PhD degree in Computer Science, Electrical Engineering