27 machine-learning-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at The Ohio State University
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. The successful candidate will play a key role in designing and implementing research at the intersection of sensor data collection, machine learning, remote sensing, and real-time agricultural decision-making
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further areas are also within scope, and we expect the candidate to contribute to at least one: 3D shape analysis and geometric machine learning. Learning on meshes, point clouds, and landmark
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of the future Center and Protect OHIO, translating research findings into outreach-appropriate sessions, building active-learning sessions for stakeholders, learning best practices for educating and engaging
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: Engineering | Electrical and Computer Engineering The Postdoctoral Scholar will conduct cutting-edge research in the areas of wireless networks and machine learning. The scholar is expected to collaborate
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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methylation, chromatin accessibility), and clinical data. · Develop, apply, and benchmark machine learning and statistical models for subtype discovery, classification, and outcome prediction. · Contribute
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computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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, and the Michael V. Drake Institute for Teaching and Learning to support the development of teaching modules and instructional resources for integration into undergraduate and graduate courses. AI