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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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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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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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, 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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laboratory methods for potential translation to radiation oncology clinics; develops and tests molecular diagnostic assays in pre-clinical models and in specimens collected from human patients receiving
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analysis expertise Predictive modeling Requires successful completion of a background check Qualified candidates may be requested to complete a pre-employment physical, including a drug screen Additional
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to brainvascular pathology, using integrated in vitro and in vivo models. Responsibilities * Study interactions between endothelial dysfunction, mitochondrial stress, and inflammatory signaling
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required; Significant experience in molecular biology and animal models of epilepsy preferred. Requires successful completion of a background check. Selected candidate may be requested to complete a pre
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experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Create a Job Match for Similar Jobs Logo About The Ohio State University Join Ohio State’s community.Together
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB