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aspects of the project, including analyzing near-Sun observations of CMEs and shocks, running three-dimensional numerical simulations to model the Sun-to-planet evolution of CMEs and their sheath regions
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, and running and interpreting one- to three-dimensional solar wind simulations to define new inner boundary conditions for global heliospheric models. Requirements: MSc (or equivalent) in space physics
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model