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successful candidate for this full-time position will work under the supervision of Dr. Demián Gómez to develop GNSS trajectory models that account for temporally correlated noise and produce co- and post
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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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University (https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15
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and lead and support 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
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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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analysis and Multiphysics Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural
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of his/her scientific mentor to investigate the molecular and circuit mechanism of epilepsy in mouse models; independently designs new analytical approaches and tools; performs experiments; independently
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investigator-initiated pilot studies, that are aligned with mentor team’s research, ensuring consistency with established methodological approaches and models, adherence to project timelines, and completeness
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. Ideally candidates will have expertise in both quantitative methodologies (e.g., structural equation modeling, multilevel regression, survey development validation, item-response theory, etc.) and
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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