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Ludwig Princeton Branch, Princeton University | Princeton, New Jersey | United States | 3 months ago
until an excellent fit is found. The successful candidate will develop and apply computational approaches to biochemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus
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and in vivo models. The prospective candidate will have opportunities to work within a highly interactive, multidisciplinary team. Preferences will be given to candidates who Have some relevant research
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postdoc with interests in RNA virology and host-pathogen interactions. For detailed information about the laboratory’s research, see our website (http://www.mouncelab.com). Experience in molecular virology
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permeability assays, murine injury and colitis models, and host-microbe interactions. Key Responsibilities The fellow will: Design and conduct independent and collaborative experiments in gut barrier biology
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment
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Intelligence (AI) ethics, law and policy in medical research, education, or clinical care, to complement our growing portfolio of AI related bioethics research. However, we will consider applications from
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function of novel innate immune cells in vital tissues such as the lung and the brain. The Postdoctoral Associate will explore components of innate immunity in tissues, and how the interaction between immune
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tailored to allow the postdoctoral fellow to transition into their desired career path. Flexible Start Date. Regular opportunities to interact with collaborators at several Chicago Research Universities, and
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experimental technologies into a platform that detects protein-protein interactions with drastically increased scale and efficiency. The ideal candidate has experience or a strong desire to build bioinformatics