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Mednarodni projekti vir: SICRIS

Machine learning for Sciences and Humanities

Ključne besede
data science, machine learning, artificial intelligence, HPC infrastructure, climate, sea levels, astro-particle physics, collider physics, linguistics, animal communication
Raziskovalci (1)
št. Evidenčna št. Ime in priimek Razisk. področje Vloga Obdobje Štev. publikacijŠtev. publikacij
1.  23978  dr. Gregor Skok  Fizika  Raziskovalec  2023 - 2024  172 
Organizacije (1)
št. Evidenčna št. Razisk. organizacija Kraj Matična številka Štev. publikacijŠtev. publikacij
1.  1554  Univerza v Ljubljani, Fakulteta za matematiko in fiziko  Ljubljana  1627007  33.814 
Researchers in Slovenia will receive training in machine learning applications. The Marie Skłodowska-Curie Actions are supporting the launch of the SMASH project, which comprises a training and research programme (co-funded by the Slovenian Ministry of Science, Education and Sport). The programme is designed to enhance the career prospects of outstanding postdocs from around the world while strengthening Europe's human capital in the field of research and innovation. SMASH will use innovative data science to delve into some of the world’s most challenging issues. These include predictions related to the impacts of climate change, the development of personalised medicine, finding answers to fundamental questions about our universe and digging deep into the fundamentals of language and how we communicate.
Zgodovina ogledov