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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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Title: Associate Professor/Professor of Data Science Employee Classification: Professor Campus: University of North Texas Division: UNT-Provost SubDivision-Department: UNT-College of Information
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research, Learning Health Systems, trustworthy AI and the use of large-scale health data. The post is on an Education and Research academic contract, with a balanced portfolio of education and research
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while preparing the workforce of tomorrow. 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
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satellite and LiDAR data. Data Integration & Documentation: Organize large spatial datasets and clearly document methodologies to assist in the preparation of research reports and presentations. Required
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, the University of Southampton and Queen’s University Belfast, is seeking to appoint one Postdoctoral Research Associate at each institution as part of the five-year STFC Large Award “TRANSCEND”. The TRANSCEND
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), and other units on campus. Topics of interest include safe and trustworthy AI, foundations and applications of artificial intelligence, world models, large language models, scientific AI, data ethics
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 13 hours ago
relativity, to the analysis and interpretation of data from LIGO, Virgo and KAGRA today, and from Einstein Telescope, Cosmic Explorer and LISA in the decade ahead. We invite applications for several
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 09/25/2026 Application Deadline 03/23/2027 Open Until Filled No Position Type Postdoctoral Scholar
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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research