27 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at The Ohio State University
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analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is highly desirable. Although experience with microlensing and transit exoplanet searches
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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
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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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| Electrical and Computer Engineering Position Description: Conducts advanced research and development in the Department of Electrical & Computer Engineering, with a primary focus on cathodoluminescence
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transplant models (heart, lung, liver, kidney), an operational small and large animal normothermic machine perfusion (NMP) model, and a precision-cut organ slice (Liver, Lung) platform. The Copper Laboratory
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manager. In the first year the postdoc scholar will also assist the supervisor to set up the laboratory and acquire new equipment and instruments. Additional Information: Location: Scott Laboratory (0148
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stakeholders. Working Conditions: This position requires work in office, classroom, and agricultural settings. Duties involve prolonged computer use, standing, walking, and occasional lifting of educational
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research environment. The successful candidate will have the opportunity to develop independent research projects, learn unique experimental approaches, contribute to interdisciplinary studies
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Administration and the Learning and Organizational Development (LOD) unit to lead research projects in the areas Extension programming, focusing on measuring the impact, reach, efficiencies, and curriculum
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presentations. · The ability to learn quickly, work independently, and work well in a team is essential. Preferred Qualifications · Research experience in cancer biology, tumor immunology, immunometabolism