651 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at The Ohio State University
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identification in greenhouse environments. Apply machine learning to analyze plant and environmental data. Support the integration of AI algorithms with automated sensing systems for real-world deployment. Assist
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, troubleshoot pipeline issues, and document workflows to ensure reproducibility across publications and grant submissions; prepare and curate datasets for statistical and machine learning analyses; translate
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of the MAE Student Machine Shop located in Scott Laboratory. This position reports to the MAE Shops Manager and plays a key role in supporting student learning, hands-on engineering education, and departmental
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and regulations, 5) learn technical skills and apply new knowledge to solve problems, 6) use resistance and power equations to solve problems, 7) select and use hand, power and machine tools, 8) locate
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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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communication, infection, prevention, lock-out/ tag-out), 3) read, interpret and apply technical manuals and systems specifications, 4) follow applicable trade specific codes, standards and regulations, 5) learn
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in both written and spoken format. Accurately assess students' learning abilities, needs, and styles with written and verbal communications Can work closely and cooperatively with faculty, staff
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for Junior Fair activities. The Student Assistant work involves, but is not limited to: • Teach and assist county staff with summer STEAM Enrichment programs, including programming using of Apple, Sphero Bolt
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time of hire is required, along with a strong theoretical or practical background in statistical mechanics, quantum dynamics, or Machine Learning. Demonstrated experience operating and maintaining a
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computing and machine learning to high-fidelity agent-based simulations. You will apply complex bioinformatics concepts to design and implement the analysis of large datasets of multi-omics data to decipher