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and outstanding education are interlinked and equally valued. We are seeking to appoint a Postdoctoral Researcher in Computational Materials Modelling to join the Multiscale Materials Modelling Group in
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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how genetic and environmental factors interactions shape mucosal immunity and metabolism. Our approach includes state-of-the-art multi-omics, novel organoid culture, genetically engineered murine models
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Society. The laboratory uses state-of-the-art technologies and tissue-specific mutant mouse models to investigate the underlying triggers of cancer-induced neuromuscular dysfunction and musculoskeletal
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of transferred materials and follow-up of results for interpretation. Analysis of fibroblasts, iPSCs, retinal organoids, and RPE models already generated by the laboratory, as well as the development of new models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
, fabrication, and evaluation of loaded MAPs with clinically relevant dosing. The project will involve integration of materials science, drug delivery, and advanced manufacturing to optimize device architecture
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, the Research Foundation will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status
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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
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., encoder models, multi-modal embeddings, large language models), and mathematical modeling to map scientific concepts and their relationships, tracing how they change, merge, or diverge across time. Your