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to groundbreaking studies in Australia and Lao PDR, developing your expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text
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. Perform data management, large-scale statistical analyses, and ensure high standards of documentation and reproducibility. Work effectively with colleagues across the CTP and with local and international
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 17 days ago
against new data, target organs tags will be generated for all SEND datasets, enabling large-scale analysis of the relationships among toxicology study endpoints, organ system toxicities, drug
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu
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. This research will leverage advanced 'omics' technologies and 'big data' analytics to unravel complex pest-natural enemy interactions, understand host associations, and identify adaptation mechanisms at a
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, epidemiology, health informatics, population health sciences, or a closely related area is required. Experience: Experience in cleaning and analyzing large-scale real-world data, such as Medicare claims and
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the safe deployment of autonomous agents that integrate vision, language, and action. Key Responsibilities: Design and execute high-impact research on the security vulnerabilities of multimodal Large
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. Effective analytic skills with at least two years of demonstrated professional experience writing code to perform statistical analysis of large data sets using software such as Stata, SAS, or R. Demonstrated
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long-term growth and external funding strategy. The JSB AI Center brings together faculty, students, and collaborators from business, information systems, engineering, computer science, communication