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with extensive interdisciplinary opportunities. https://newcollege.asu.edu/smns . About the New College of Interdisciplinary Arts and Sciences At ASU’s New College of Interdisciplinary Arts and
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computational postdoctoral fellow to lead core deep-learning work across surgical computer vision, multimodal fusion, and clinical translation. Project overview You will advance funded work that
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, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and scientific writing, evidenced by first-author
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working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open
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· EMED: An Ethical Mixture-of-Experts Digital Twin Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 10 days ago
investigate and manipulate the immune system for therapeutic gain. Specific areas of interest include, but are not limited to: Machine learning applied to immunological challenges , such as modeling immune
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and data will be lost. Posting Summary Logo Posting Number RTF00164PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title
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performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the
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learning, research, and Extension programming environments where the unique contributions of each individual are acknowledged and valued. At IANR , we see every person and every interaction as important to
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. The IMCI Modeling Core is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https