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; Experience with acquisition of large datasets such as (but not necessarily restricted to) genomic/genetic data and related bioinformatics pipelines/phylogenetic software; and Demonstrated experience in
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research funding than all other New Jersey universities and colleges combined. Rutgers manages Protein Data Bank (PDB), the global archive of 3D structure data for large biological molecules (proteins, DNA
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species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify priority areas
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safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
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, and optimize the REDCap database for large-scale electronic data collection, ensuring data quality and integrity. Train and supervise a team of Mental Health Consultants, research assistants, and
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to upload a CV. Community Information Columbia offers small-town friendliness with big city features and a high quality of life for people of all ages and interests. Founded on education and known as an ideal
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field. Strong foundational knowledge in participatory research and social sciences methods. Strong experience working with large datasets (ideally, but not required, with fisheries, socioeconomics data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
prediction using large-scale multimodal neuroimaging data. The research will emphasize methodological innovation in statistical modeling, transfer learning, machine learning, model ensemble strategies, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 09/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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solutions to automate and optimize the interplay between large scientific simulations, data ingestion, and AI processes (e.g., model training, inference). • Develop agentic AI systems and AI harnessing