A public selection, based on qualifications, is announced for the awarding of n. 1 research position for carrying out research activities within the project entitled: \u201cQuantitative estimates for Neural Tangent Kernel in general neural network architectures\u201d.<\/p>\n\n
The project, funded under the FIS-2024-06000 program and coordinated by Prof. Dario Trevisan at the Department of Mathematics, concerns the development of quantitative results for the Neural Tangent Kernel in general deep neural network architectures, with particular attention to error estimates, convergence rates, and implications for training dynamics, also through comparisons with limiting models and possible targeted numerical validations.<\/p>\n\n
Further information and instructions on how to apply can be found at\u00a0the following link<\/a>.<\/p>\n\n The deadline for submitting applications is April 27, 2026 at 1:00 PM (Rome time zone).<\/p>\n","protected":false},"excerpt":{"rendered":" A public selection, based on qualifications, is announced for the awarding of n. 1 research position for carrying out research…<\/p>\n