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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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at national/international conferences Access to a broad network of collaborators at Yale and beyond Qualifications We welcome applicants with backgrounds in either experimental biology, computational biology
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neuroimaging approach (including functional and structural MRI and targeted PET imaging) to better understand how Alzheimer’s disease (especially less common variants that disproportionately impact language and
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cell-to-cell communication in native and engineered lung tissues, with a particular focus on the remodeling of the capillary-alveolar barrier during health, disease, and regenerative repair. We apply
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multiple NIH grants, including the NIH Human Immunology Project Consortium (HIPC), a highly collaborative national network that the successful candidate will join. Available areas of research include both
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, artificial neural network models, evaluation of individualized predictions or estimates for individuals with diverse backgrounds, and promotion of health equity using AI models. The Postdoctoral Associate will
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the direction and supervision of Prof. Lucila Ohno-Machado, we seek to appoint full-time Postdoctoral Associates (two positions) in the areas of privacy-preserving health data sharing, artificial neural network
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Background The Broad Center at Yale School of Management (TBC at Yale SOM) seeks applicants for a postdoctoral research associate position who will contribute to TBC at Yale SOM’s vibrant community
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vibrant intellectual environment. Postdoctoral Associates are expected to cultivate their own line of research while benefiting from Yale’s and the DEC’s collaborative and supportive academic community
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and supportive academic community. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law