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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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(LIG), a 450-member laboratory with teaching faculty, full-time researchers, PhD students, administrative and technical staff. The mission of LIG is to contribute to the development of fundamental
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learning procedure such as the one included in the ArcaNN1 software that was developed in our laboratory. This project will merge an architecture that focused on ML/MM for spectroscopy2 to ArcaNN, aiming
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generally, the digital continuum (HL-LHC, SKAO and SLICES-RI). ODISSEE will provide evolutionary and revolutionary hardware and software platforms to meet the digital challenges of these major infrastructures
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-solar@cnrs.fr roberto.oberti@unimi.it How to apply? All information are provided here Deadline: 15th April 2026 Where to apply Website https://www.eu4greenfielddata.eu/phd-positions-application/list