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solvability of these problems. The developed methodologies will be tested and validated on emulators that incorporate realistic hardware error models, with an emphasis on the uniqueness of Rydberg-based
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. This position offers opportunities for collaborative theory development, advanced numerical modeling, and participation in a vibrant, multi-institutional research environment. Regular joint meetings, coordinated
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broader cosmology group at Oxford, who combine expertise on a wide variety of topics in theoretical, observational, and numerical cosmology and astrophysics. The successful candidate will be required
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modelling. Imaging
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computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers
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able to perform both analytical and numerical calculations. Experience with analytical or numerical modelling of active systems is desired. Experience with continuum/ hydrodynamic theories
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group, you will work within the broader cosmology group at Oxford, who combine expertise on a wide variety of topics in theoretical, observational, and numerical cosmology and astrophysics. The successful
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Infrastructure? No Offer Description Mission: Study of cell adhesion and tissue shape change with theoretical and computational models. Functions to be developed: Develop theoretical models. Implement these models
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computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
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polytopal numerical methods The conception of discrete complexes (de Rham and extended complexes) The application to various models of MHD and flows in porous media The numerical analysis of the schemes