Openfund

CORDIS · SMASH

Machine learning for Sciences and Humanities

Код
SMASH
Програма
HORIZON
Процедура
HORIZON-MSCA-2021-COFUND-01-01
Статус
SIGNED
Период
01.07.2023 – 30.06.2028
Принос на ЕС (целият консорциум)4 776 000 €

Официални данни · CORDIS · синхронизирано 18.10.2026 03:29 · официален запис

Участници

ОрганизацииРоляДържаваБезвъзмездна помощ
UNIVERZA V NOVI GORICIкоординаторSI4 776 000 €
Технически университет - Варнаасоцииран партньорBG
HRM One d.o.o.асоцииран партньорSI
Festa Dolphinarium EOODасоцииран партньорBG
Laura Fantoneасоцииран партньорUS
NEUS DIAGNOSTICS, RAZISKAVE IN RAZVOJ MEDICINSKE OPREME, D.O.O.асоцииран партньорSI
Institute of Environmental Assessment and Water Research-CSICасоцииран партньорES
HAZE INSTRUMENTS, RAZVOJ IN PROIZVODNJA MERILNIH INSTRUMENTOV DOOасоцииран партньорSI
ZNANOST NA CESTI, ZAVOD ZA PROMOCIJO ZNANOSTI, LJUBLJANAасоцииран партньорSI
U.S. DEPARTMENT OF ENERGYасоцииран партньорUS
SINERGISE LABORATORIJ ZA GEOGRAFSKEINFORMACIJSKE SISTEME DOOасоцииран партньорSI
UNIVERSITY OF JOHANNESBURGасоцииран партньорZA
THE CYPRUS INSTITUTEасоцииран партньорCY
COSYLAB LABORATORIJ ZA KONTROLNE SISTEME DDасоцииран партньорSI
ARCTUR RACUNALNISKI INZENIRING DOOасоцииран партньорSI
UNIVERSITY OF WASHINGTONасоцииран партньорUS
CICERO SENTER FOR KLIMAFORSKNINGасоцииран партньорNO
AKADEMSKA IN RAZISKOVALNA MREZA SLOVENIJEасоцииран партньорSI
LEIBNIZ INSTITUT FUER TROPOSPHAERENFORSCHUNG e.V.асоцииран партньорDE
INTERNATIONAL CENTRE FOR GENETIC ENGINEERING AND BIOTECHNOLOGYасоцииран партньорIT
PANEPISTIMIO KRITISасоцииран партньорEL
FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIAасоцииран партньорIT
ETHNIKO ASTEROSKOPEIO ATHINONасоцииран партньорEL
STIFTELSEN NILUасоцииран партньорNO
UNIVERSITA DEGLI STUDI DI BARI ALDO MOROасоцииран партньорIT
UNIVERSIDADE DE SAO PAULOасоцииран партньорBR
QUEEN MARY UNIVERSITY OF LONDONасоцииран партньорUK
CESKE VYSOKE UCENI TECHNICKE V PRAZEасоцииран партньорCZ
SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTEасоцииран партньорIT
UNIVERSITAT ROVIRA I VIRGILIасоцииран партньорES
THE GOVERNORS OF THE UNIVERSITY OF ALBERTAасоцииран партньорCA
THE UNIVERSITY OF MANCHESTERасоцииран партньорUK
UNIVERSITAT DE VALENCIAасоцииран партньорES
UNIVERSITE DE LIEGEасоцииран партньорBE
WEIZMANN INSTITUTE OF SCIENCEасоцииран партньорIL
UNIVERSITEIT VAN AMSTERDAMасоцииран партньорNL
ORGANISATION EUROPEENNE POUR LA RECHERCHE NUCLEAIREасоцииран партньорCH
KATHOLIEKE UNIVERSITEIT LEUVENасоцииран партньорBE
PAUL SCHERRER INSTITUTасоцииран партньорCH

Описание

SMASH is a brand-new training and research programme to be co-funded by the Slovenian Ministry of Science, Education & Sport. The Beneficiary, the University of Nova Gorica, is a research-focused university, situated at the Italian border, that boasts a 51:49 female:male ratio among its 200+ staff. The programme is designed to enhance the career prospects of outstanding post-docs from around the world, while strengthening Europe's human capital in R&I. Fifty talented individuals will be hired by five of Slovenia’s leading institutions, allowing them to expand their own research ideas based on access to the data-science potential of the Vega HPC supercomputer, the first such facility of the EU’s €-multi-billion HPC initiative. With a diverse group of Associated Partners, including top SMEs from Slovenia and the EU as well as world-leading institutions like UC Berkeley, SMASH will form a close-knit community with a single unifying concept: the use of cutting-edge data science to answer some of the world’s most challenging questions. 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. SMASH will guarantee a recruitment process based on openness, transparency, impartiality and equality, and will ensure neutrality by giving all selection power to external experts, setting an example for the region. Top-level training in applications of machine learning, that is one of today’s most transferable skills, will be complemented by rich soft-skill training opportunities, developed in collaboration with some of the world’s best experts, including CERN's Learning Hub. The impact of the programme will be felt for decades, both in the local research landscape and across Europe as the researchers take their skills to pursue their careers on the strength of their successes in SMASH.

Официални данни · CORDIS · синхронизирано 18.10.2026 03:29 · официален запис · Лиценз: © European Union, CC BY 4.0 (Commission reuse policy).