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(within the last 0-5 years) in field of High Energy Physics Demonstrated excellence in physics analysis, including data analysis, statistical interpretation, and results dissemination Strong general
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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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Job Title Postdoctoral Research Associate, SPARTA Agency Texas A&M University Department Texas A&M Institute of Data Science Proposed Minimum Salary Commensurate Job Location College Station, Texas
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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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techniques (e.g. explainable, ethical, empathic and agentic AI), natural language processing (NLP), large language models (LLMs), data science methods, and mHealth to analyze large-scale, multidimensional, and