59 computer-science-"https:"-"Data-driven-Materials-Modeling" "https:" Postdoctoral positions at OSU
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- Materials Discovery (MR) Department: Engineering | Mechanical and Aerospace Engineering Conducts research and development efforts as a Post Doctoral Scholar in the laboratory led by Professor Kang
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fundamental Earth science and engineering applications . Research activities may involve geophysical forward modeling, AI-driven geophysical inversion, seismic monitoring and imaging, scientific machine
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languages such as Python or C++. Expertise in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is highly desirable. Although
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OSU | about 1 month ago
: Job Requirements: Required: PhD in computer science, biomedical informatics, electrical engineering , or a related field Demonstrated expertise in machine learning, deep learning, and image-based
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OSU | 27 days ago
biomedical engineering, computer science, psychology, hearing science, or a related field. Applicants must demonstrate strong research skills, proficiency in data analysis and statistical methods, and
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OSU | 28 days ago
modeling as appropriate. Interpret findings and formulate scientifically rigorous conclusions. Collaborate with statisticians, engineers, and other specialists to support data analysis and validation
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. Candidates should have strong scientific programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large
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Department: Engineering | Materials Science and Engineering The Department of Materials Science and Engineering in the College of Engineering at The Ohio State University invites applications for an
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OSU | 30 days ago
multiscale and hybrid modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to
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Engineering, Kinesiology, or a closely related field by the start date of the appointment. Demonstrated expertise in quantitative data analysis, including advanced statistical modeling (e.g., mixed-effects