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languages and cultures using the universal language of DNA. We collaborate with researchers and communities across North Carolina and the world. Our studies will also create new models of disease risk and
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researchers and physicians work together to solve important clinical problems. The current and prior work of our team includes the development and evaluation of foundation models as well as deep learning
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mammalian cells, measurement of biomolecular interactions using Biolayer Interferometry or surface plasmon resonance, structural determination using single-particle cryo-EM analysis, and atomic model building
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-epithelial interactions. The role employs a multi-modal research approach spanning genetically engineered mouse models, histopathology, mouse and human organoids, CRISPR-Cas9 gene editing, single-cell
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, patient screening and enrollment, REDCap and database management, and data cleaning and analysis. Support for machine learning model development. Preparation of abstracts and manuscripts, and assistance
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or at a designated assignment location. Be Bold. In this position, you will Study skeletal muscle biology and function in regulating other tissues, using cellular, molecular, and model animal (transgenic
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osteoarthritis (PTOA)-associated joint degeneration and pain. A PhD is required Prior experience working with murine models of PTOA-associated cartilage catabolism and pain using pharmacologic treatments Onsite
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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characterizing the endocrine-disrupting potential of plastic additives, with a primary emphasis on androgen receptor (AR) and estrogen receptor alpha (ERα) modulation, using established in vitro and in vivo models
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advanced epidemiologic and biostatistical methods, including causal inference, survival and longitudinal modeling, and approaches for integrating multi-level and high-dimensional data. There will be