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faculty to manage large grants and programs with OUHSC central offices, prepares reports, attends meetings, and prepares financial data. Duties: Account Reconciliation. Reconciles accounts. Manages multiple
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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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newsletters, and social media. Data Tracking and Analysis: Maintain CET’s recruitment and engagement database. Monitor metrics and prepare reports to assess outreach effectiveness. Ability to travel and work
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Your Job: You will primarily engage in research on or with large scale AI models (such as open foundation models) and datasets necessary for their creation using the supercomputers available
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to exclusively manage coding, data processing, and analytical responsibilities associated with Projects 1a-1c. The successful candidate will leverage advanced computational methods, including Large Language Models
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integration applications implemented as business-focused solutions. Duties include: - Develop and support large-scale data structures and pipelines to ingest, move, transform, and integrate data to help
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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statistics for large scale epidemiological cohorts. Conducts data analysis in R. Creates visualizations (graphs / figures) in R. Provides support in analyses of high-dimensional data e.g., genomic data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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Department: Inst for Ecological Resilience Salary: Commensurate with Experience/Education Description: Responsible for the operations of a large program or center at the university. Oversees staff