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or a numerate discipline OR equivalent experience. Broad knowledge of probabilistic models, Bayesian inference and machine learning methods. Good knowledge of R, Python or both (links to project source
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are seeking a Research Fellow to contribute to a project focused on Numerical Methods for McKean-Vlasov PDEs. Key Responsibilities: Develop Numerical Methods for McKean-Vlasov PDEs/Master equations Job
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quantitative, qualitative and statistical methods. We are committed to supporting and developing our team members, through attendance at conferences and access to training in research methods, and will support
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(CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems with
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well as for validation of numerical simulation results. As part of the work task, we expect machine learning to be employed to improve accuracy and efficiency of numerical methods, combining advanced technology with
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Australian National University | Canberra, Australian Capital Territory | Australia | about 7 hours ago
independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
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, we expect machine learning to be employed to improve accuracy and efficiency of numerical methods, combining advanced technology with scientific research. About the Department of Mathematics at UiB
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for giga-scale CO2 storage. Concretely, this PhD project will look at the theoretical foundation and associated numerical and computational methods for large scale poroelastic response on the basin scale
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, United Kingdom of Great Britain and Northern Ireland [map ] Subject Area: ERC Synergy project Phase-space-inspired Numerical Methods for High Frequency Wave Scattering (PSINumScat) Appl Deadline: 2025/01
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strong numerical and critical thinking skills, and the ability to work in a diverse environment. This position is funded by Southeast Asia Innovation Alliance for a Global Model of Future Agri-food Systems