Project description
Human researchers trained in machine learning
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.
Objective
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.
Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Coordinator
5000 Nova Gorica
Slovenia
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Partners (31)
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1012WX Amsterdam
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34136 Trieste
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98195 9472 Seattle Wa
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1211 GENEVE 23
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3000 Leuven
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E1 4NS London
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08034 Barcelona
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7610001 Rehovot
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0349 Oslo
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2027 Kjeller
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2121 Nicosia
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34149 Trieste
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4000 Liege
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05508 900 Sao Paulo Sp
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9010 Varna
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43003 Tarragona
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2006 Johannesburg
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1000 Ljubljana
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1000 Ljubljana
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1000 Ljubljana
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
5000 Nova Gorica
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1000 Ljubljana
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1000 Ljubljana
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70121 Bari
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04318 Leipzig
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16163 Genova
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1000 Ljubljana
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9000 Varna
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160 00 Praha
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1000 Ljubljana
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