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Address 1501 N. Campbell Ave., Tucson, AZ 85724 USA Position Highlights The Biomedical Imaging Innovation/Clinical Translation – Next-gen CT (BIG-CT) research laboratory in the Department of Radiology and
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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, transfer learning, large foundation models or collaborative agents, etc.; (c) have good communication skills in both English and Chinese; and (d) be self-motivated and possess excellent coding skills
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We invite applications for a Postdoctoral Researcher to join the research group of Professor Christopher Yau ( http://cwcyau.github.io ) at the Big Data Institute, University of Oxford. This post
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expertise in collecting and analyzing high-quality nutrition data from children and families, leveraging large datasets, and applying cutting-edge technologies, including artificial intelligence (AI) and
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 9 hours ago
frameworks, and editing papers for publication. Data analysis work will include analyzing large datasets, including administrative datasets, credit registries, meteorological data and satellite imagery
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 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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interoperable methodological framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language
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instruments Analysing and interpreting data Writing experiment proposals, presenting results at conferences and publishing in peer-reviewed journals. Work in laboratories and large-scale facilities. Travel