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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 1 month ago
learning architectures (e.g., attention-based fusion, progression-aware temporal modeling), perform rigorous model validation, and help translate research findings into clinically meaningful insights in
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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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. 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