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Field
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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
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for that month). 2.5. Tasks to be carried out: Development of theoretical approaches in the field of inductive spectral theory and information theory applied to transformer- and graph neural network-based deep
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FAIR/open-science practices, the BrainGlobe ecosystem, EBRAINS, NIH BRAIN Initiative resources, and Brain Maps 4.0 or analogous mesoscale chemoarchitectural atlases. Additional familiarity with graph
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correlated defects, spin glasses, random graphs and networks), long-range interacting systems, topological excitations, conformational statistics of macromolecules such as polymers and proteins (folding