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partners in the digital health and health delivery ecosystem. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning
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qualitative and quantitative analytical methods to model clinician attention, verbal reasoning, and documentation behaviour Develop and evaluate machine learning models, including unimodal, fusion, and
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clustering, redshift-space distortions, weak/strong gravitational lensing, and artificial intelligence/machine learning (AI/ML). The observational focus is on optical sky surveys (DES, DESI, Roman, Rubin Obs
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The Department of Medical and Translational Biology and the Wallenberg Centre for Molecular Medicine (WCMM), Umeå University, Sweden, is offering a postdoctoral scholarship within the project
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] Subject Areas: Computer Science / Artificial Intelligence , Artificial intelligence and machine learning , Artificial Intelligence, Machine Learning, Large Language Models , Artificial Intelligence/Machine
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machine learning. There are currently 56 academic staff and about 154 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and Information , Data Visualization , Deep Learning , High dimensional Data
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on computer vision and machine learning techniques, that evaluates video recordings of human movements providing them with a normalized score of functional capacity. However, we lack objective information about
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University More Jobs from This Employer https://main.hercjobs.org/jobs/22002385/x5b-eoi-x5d-x5b-spring-2026-x5d-postdoctoral-associate-x7c-center-for-data-science Return to Search Results
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency