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methods to ultimately let dermatologists continually update multi-modal machine learning models. Our research objectives are to 1) develop novel model editing methods for multi-modal models, with a focus on
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data from mobile, wearable, and environmental sensors. The successful candidate will create and deploy models that integrate machine learning, signal processing, and large language models (LLMs) to infer
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with vehicle structural modeling and crash simulation, and to assist in the development of research proposals, supervising graduate students and other personnel, and prepare reports, publications, and
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changes in response to birth experiences. Specifically, we use translational models of epigenetic change in response to birth and the early environment in a model system of birth and birth interventions
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, build, and maintain ETL pipelines using Python, PySpark, and Microsoft Fabric Develop and manage data lake architecture and data models for analytics and reporting Create semantic models and reusable data
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modeling of microbial metabolism and the use of microbial experimental methods. Responsibilities include: Full-time research at the University, performing experimental and computational analyses Writing
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behaviors are behaviorally based and reflect the ANA Scope and Standards of Practice and Code of Ethics, organized within the UVA Nursing Professional Practice Model. The CCL fosters RN engagement and
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immunity and their contribution to host defense during Clostridioides difficile infection (CDI). They will use murine models of CDI, flow cytometry, transcriptional and functional assays to define
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. We utilize novel murine models and techniques and translate finding using our large cohort of human subjects with advanced imaging of coronary artery plaque volume and features of plaque instability
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) models. The appropriate candidate should have at least an undergraduate or master degree in biology or related fields, with at least 2 to 3 years of laboratory experience. The appropriate candidate must