647 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at The Ohio State University
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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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, 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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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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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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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
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on a computer Occasional standing and walking within the office Ability to lift up to 20 lbs (e.g., office supplies, files) Manual dexterity for keyboarding and handling paperwork Clear vision (with
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with eight (8) years of hands‑on experience in automation and AI, including expertise with Microsoft Foundry, large language models (LLMs), and machine learning technologies. Additional Information: Our
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students in a higher education learning environment. PHYSICAL CONDITIONS: Sitting/staring at computer screens for long periods of time. Exposure to animal dander and/or zoonotic diseases. Navigating
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secure storage. Learn more at osc.edu/explore. OSC is a welcoming and supportive work environment and part of the Ohio Technology Consortium (OH-TECH). As the technology and information division
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educational opportunities. Completes annual and other mandatory competencies by either computer or hands on learning by required deadline. Shares professional/technical expertise with students on clinical