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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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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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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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OSU | about 2 months ago
independent research on human non-coding RNAs in the Nakanishi Lab ( http://u.osu.edu/nakanishilab/ ). We are looking for a highly motivated scientist to join us in exploring the diverse roles of non
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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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OSU | about 2 months ago
modeling . A strong publication record in top-tier venues (e.g., MICCAI, CVPR, NeurIPS, AAAI, or related) Desired: Experience with multimodal data integration, longitudinal outcome prediction, or medical
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OSU | about 1 month 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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OSU | about 2 months ago
and goals. The incumbent schedules, manages, and conducts data collection efforts (e.g., child assessments, caregiver surveys and observations) and oversees/conducts any necessary coding on an
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OSU | about 1 month 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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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