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or numerical methods, interpret results, and contribute to the preparation of publications and research presentations. Demonstrated ability to work independently while contributing effectively within a
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Statistics to work on the project "Geometric methods to detect rate-induced tipping events" Base Salary $117,936 (Level A, Step 6) per annum + 17% superannuation About the opportunity We are seeking to appoint
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in scientific / numerical programming and data analysis excellent collaboration skills, with a proven ability to work effectively in a multidisciplinary team a keen, self-motivated interest in
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relevant to physics, such as CNNs for image-based field prediction, Graph Neural Networks (GNNs), or Physics-Informed Neural Networks (PINNs) Solid grasp of numerical methods, partial differential equations