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electrophysiological complexity of the human gastrointestinal tract in order to investigate intestinal infectious diseases and host–pathogen interactions. Within this framework, the NCM (Nanobiointerfaces and Conductive
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health problem without a cure or vaccine in sight. Our laboratory studies fundamental aspects of HIV-1 replication, virus-host interactions and innate immune defenses with particular emphasis on the roles
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easy access to many state of the art Large Language Models and multimodal generative AI systems (https://it.ufl.edu/ai/uf-navigator-ai/ ). The successful candidate must have a PhD in Philosophy, Computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
and multidisciplinary translational tumor immunology group (https://pirl.unc.edu/) is seeking to hire a research associate who is highly skilled in cytometry and functional analysis of T cells to lead a
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literature articles, develop new ideas, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact on a regular basis with their faculty mentor and members
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; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma computing. The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in
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. The Post-Doctoral Associate will be expected to: Perform and interpret geotechnical laboratory tests to support the experimental program. Plan, design, conduct, and analyze centrifuge model experiments
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conduct independent and collaborative research on volatile organic compound (VOC) cycling across ecosystems. Research activities will include the design and implementation experiments investigating
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and SP Group, and the deep tech materials technology company Nanocore. The project, which is called FUTURPLAST, is supported financially by the Innovation Fund Denmark within the Grand Solutions program
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. Project overview Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to use machine learning and data science to find better ways