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or edge-to-cloud architectures • Experience deploying AI models within interactive engines Salary: $60,000.00 - $70,000.00 College or Department: Ubicquia Innovation Center for Intelligent Infrastructure
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mouse models Experience harvesting tissues and performing in vivo and ex vivo tissue imaging (e.g., organotypic slice cultures, intravital imaging, and/or ex vivo tissue imaging) Candidates with both
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
. Publication record demonstrating quantitative genomics or evolutionary analysis. Interest in developing and leading research on new model systems. Duties and Responsibilities A Postdoctoral Fellow (""postdoc
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interact with sensory neurons to promote pain resolution. The laboratory integrates preclinical models and human translational research approaches. As examples, please see Sim, Science Immunology 2026; de
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for utilizing human induced pluripotent stem cell-derived models and animal models to study molecular mechanisms of arrhythmias, the effects of current treatments and identify new therapeutic targets. This person
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activities will likely include, but are not limited to: Use of large language models and AI techniques to support data collection, synthesis, analysis, and construction of a modeling platform for key resource
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microscopy, spatial transcriptomics and in vitro and in vivo models to study brain tumor cell-cell interactions and the organization of the cancer ecosystem. We strive for highly collaborative and inclusive
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· Collaborate on biochemical, cellular, and in vivo validation studies (ELISA, keratinocyte assays, murine psoriasis models) · Analyze and integrate chemical, biophysical, and biological data for publication
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mission to ignite positive changes in the quality of health across the world. The Department of Epidemiology is seeking 2-3 postdoctoral researchers for projects related to mathematical modelling and
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analyses, latent modelling, multilevel modelling). Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in large (N~100,000