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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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advanced research on West Nile virus (WNV) dynamics, with a primary focus on computational infectious disease modeling and quantitative analyses of field data. They will contribute to a multidisciplinary
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preclinical models and will have the opportunity to develop and refine novel systems. Our laboratory is well-resourced to conduct these studies. It has access to human biospecimens to confirm the relevance
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soils, with applications in permafrost engineering, cold-regions geotechnics, and climate-driven ground processes. The postdoctoral scholar will lead applied modeling and data-constrained analyses using
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Wide Field Science Teams. Duties will include contributing to RGES-PIT science by developing new galactic models/dust models and hierarchical occurrence rates analysis pipelines; preparing papers
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the opportunity of strong mentorship and a close, multidisciplinary collaborative research environment. Primary Responsibilities Lead the state-of-the-art research using genetic mouse models for histology, single
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the start date of the appointment. Demonstrated expertise in quantitative data analysis, including advanced statistical modeling (e.g., mixed-effects models, longitudinal analyses, mediation/moderation
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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refinement of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model systems. Technical
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. This position focuses on developing and validating mechanistic models to assess cancer risks, specifically utilizing stochastic and deterministic methods. The researcher will be responsible for deriving