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Position Description Okinawa Institute of Science and Technology Postdoctoral Researcher in Geometric Partial Differential Equations Unit The Okinawa Institute of Science and Technology Graduate
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of multi-modal healthcare record data. The ideal candidate will additionally have experience: Multi-modal AI model development Statistical modelling techniques (Bayesian inference, differential equations and
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analysis and biogeochemistry. Demonstrated ability to solve complex differential equations, essential for modeling fluid dynamics and geochemical processes in river-lake systems. Extensive knowledge of river
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! The Center for Interdisciplinary Applied Mathematics (CIAM) at Zhejiang University is a new research hub dedicated to pioneering work that bridges mathematics and a wide spectrum of scientific disciplines. We
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for Partial Differential Equations: Identifying and addressing research questions as part of Prof. Perugia's research group. Innovative development, analysis, and implementation of numerical models
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Intelligence and Machine Learning, Computational Statistics, Random Matrices, Free Probability, Stochastic Control, Mathematical Finance, Stochastic Partial Differential Equations, Markov Processes, Branching
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numerical methods for ordinary and partial differential equations, numerical analysis, mathematicalmodels in biomedicine, biostatistics, machine learning, statistical learning, multivariate statistics, time
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, Lyapunov and Riccati equation) of the project. Special intention will be given to interactions among control theory and machine learning. He/she will be expected to work effectively within the project team
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C++ • Experience