Objective
TENORS aims to form the next generation of researchers and engineers in scientific computing and data analysis, disrupting the current paradigms of tensor calculus by exploiting cutting-edge research in geometry and optimisation. Tensors are nowadays ubiquitous in many domains of applied mathematics, computer science, signal processing, data processing, machine learning and in the emerging area of quantum computing. The demand for highly trained scientists with a deep understanding of tensor methods and with advanced knowledge in the geometry of tensor spaces, with skills on the design of efficient algorithms and software handling tensor computation and in the applications of high performance tensor computation is raising, in many fields including machine learning and quantum computation, which are nowadays expanding very quickly.
TENORS contributes to satisfy this demand by fostering scientific and technological advances in the area of tensor sciences, stimulating interdisciplinary and intersectoriality knowledge exchange between algebraists, geometers, computer scientists, numerical analysts, data analysts, physicists, quantum scientists, and industrial actors facing real-life tensor-based problems, in a network of PhD students at its core.
A unique strength of the network is to gather top-researchers of these different domains.
TENORS will train young scientists in academy or industry in how to exploit the best of these techniques efficiently and disseminate this knowledge to industry. As a truly multidisciplinary network, TENORS will at the same time seek to apply these new techniques to real-life applications thanks to the industrial actors involved in the network.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftware
- natural sciencesmathematicspure mathematicsgeometry
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Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Coordinator
78153 Le Chesnay Cedex
France
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Participants (10)
75794 Paris
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78464 Konstanz
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80539 Munchen
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9019 Tromso
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38122 Trento
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50121 Florence
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3526 KV Utrecht
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160 00 Praha
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08860 Castelldefels
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75009 Paris
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (10)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
91300 Massy
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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.
SW1P 1BX London
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
38121 Trento
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8006 Bodø
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
E14 5HQ London
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
06100 Nice
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
5037 AB Tilburg
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
31400 TOULOUSE
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
04109 Leipzig
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
08034 Barcelona
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