Project description
Ensuring a strong Human Brain Project legacy
SGA3 is the last of four phases of the Human Brain Project FET Flagship, which comprises an EU-funded Core Project and complementary Partnering Projects. Building on scientific and technical foundations laid in earlier phases, SGA3 will deliver EBRAINS, a comprehensive European scientific research infrastructure, built by neuroscientists for neuroscientists, to support deeper understanding of the brain, and exploitation of that knowledge in medicine, computing and other technological fields. The HBP’s multi-level human brain atlas supports better scientific insights, bringing together data from different brains and brain regions. The HBP will also improve society’s capacity to model the brain, mimic it, and create computers and robots driven by artificial brains, as well as driving improved treatment of brain diseases.
Objective
The last of four multi-year work plans will take the HBP to the end of its original incarnation as an EU Future and Emerging Technology Flagship. The plan is that the end of the Flagship will see the start of a new, enduring European scientific research infrastructure, EBRAINS, hopefully on the European Strategy Forum on Research Infrastructures (ESFRI) roadmap. The SGA3 work plan builds on the strong scientific foundations laid in the preceding phases, makes structural adaptations to profit from lessons learned along the way (e.g. transforming the previous Subprojects and Co-Design Projects into fewer, stronger, well-integrated Work Packages) and introduces new participants, with additional capabilities.
The SGA3 work plan is built around improved integration and a sharpening of focus, to ensure a strong HBP legacy at the end of this last SGA. In previous phases, the HBP laid the foundation for empowering empirical and theoretical neuroscience to approaching the different spatial and temporal scales using state-of-the-art neuroinformatics, simulation, neuromorphic computing, neurorobotics, as well as high-performance analytics and computing. While these disciplines have been evolving for some years, we now see a convergence in this field and a dramatic speeding-up of progress. Data is driving a scientific revolution that relies heavily on computing to analyse data and to provide the results to the research community. Only with strong computer support, is it possible to translate information into knowledge, into a deeper understanding of brain organisation and diseases, and into technological innovation. In this respect, the underlying Fenix HPC and data e-infrastructure, co-designed with the HBP, will be key.
The services offered by EBRAINS will be grouped in six Service Categories:
SC1: Curated and shared data: EBRAINS FAIR data services - neuroscience data publishing
SC2: Brain atlas services: navigate the brain in 3D - find, contribute and analyse brain data, based on location
SC3: Brain modelling and simulation workflows: integrated tools to create and investigate models of the brain
SC4: Closed loop AI and robotics workflows: design, test and implement robotic and AI solutions
SC5: Medical Data Analytics
SC6: Interactive workflows on HPC or NMC: Europe-wide access to scalable and interactive compute services
Their users are to be supported with High-Level Support Teams and Vouchers, as well as Engagement and Facility Hubs located around Europe, at which additional services, unique equipment and compute infrastructure will be offered by local HBP Partners.
Significant outcomes in relevant scientific communities are expected to materialise rapidly. Association with new Partnering Projects is still sought, along with wider international cooperation.
The SGA3 objectives can be summarised as:
1) Establish a sustainable European scientific research infrastructure, EBRAINS, leading to an increased use and adoption of FAIR data, web-based analyses, model building, simulation, atlasing, and virtual experiments for brain research and brain-inspired sciences.
2) Provide a multi-level atlas of the human brain - the first of its kind that links microstructural detail and inter-subject variability.
3) Increase the capacity of neuroscientists for multiscale neural activity modelling of the human brain network.
4) Increase the availability of integrated multiscale data and computational models supporting brain states transitions, network complexity and cognitive functions.
5) Enhance real-world task performance through biologically plausible adaptive cognitive architectures running on neuromorphic hardware and a closed-loop Neurorobotics Platform.
6) Ensure that neuroscientific insights at the interface of neuro-inspired computing and technology are being translated into a benefit for patients with brain diseases.
7) Ensure an ethically and legally compliant infrastructure and promote embedding of Responsible Research and Innovation, a
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 sciencesbiological sciencesneurobiologycognitive neuroscience
- natural sciencescomputer and information sciencesdatabases
- social sciencespolitical sciencespolitical transitionsrevolutions
- natural sciencesbiological sciencesneurobiologycomputational neuroscience
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
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Keywords
Programme(s)
- H2020-EU.1.2. - EXCELLENT SCIENCE - Future and Emerging Technologies (FET) Main Programme
- H2020-EU.1.2.3. - FET Flagships Main Programme
Funding Scheme
RIA - Research and Innovation actionCoordinator
1170 Bruxelles / Brussel
Belgium
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Participants (161)
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02150 Espoo
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2333 ZA Leiden
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112 57 ATHINA
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08034 Barcelona
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99423 Weimar
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42119 Wuppertal
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91904 Jerusalem
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CF10 3AT CARDIFF
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75794 Paris
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91190 Gif-Sur-Yvette
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75015 PARIS 15
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00185 Roma
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40033 Casalecchio Di Reno Bo
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2800 Kongens Lyngby
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4032 Debrecen
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LE1 9BH Leicester
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75230 Paris
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8092 Zuerich
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2100 KOBENHAVN O
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52428 Julich
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80805 Munchen
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80686 Munchen
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1400-038 Lisboa
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40225 Dusseldorf
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00014 HELSINGIN YLIOPISTO
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69118 Heidelberg
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1011 Lausanne
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SW7 2AZ LONDON
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75013 Paris
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75654 Paris
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1083 Budapest
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3400 Klosterneuburg
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1000 Ljubljana
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78153 Le Chesnay Cedex
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75724 Paris
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60323 Frankfurt Am Main
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76131 Karlsruhe
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17177 Stockholm
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WC2R 2LS London
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100 44 Stockholm
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50019 Sesto-Fiorentino (Fi)
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35195 Vaxjo
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6020 Innsbruck
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10 561 ATHINA
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1433 As
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1010 Wien
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52062 Aachen
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69117 Heidelberg
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34956 Istanbul
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56127 Pisa
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3526 KV Utrecht
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6525 XZ Nijmegen
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76131 Karlsruhe
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731 00 Chania
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01069 Dresden
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8010 Graz
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80333 Muenchen
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69978 Tel Aviv
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OX1 2JD Oxford
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91904 Jerusalem
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EH8 9YL Edinburgh
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M13 9PL Manchester
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28049 Madrid
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13071 Ciudad Real
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18071 Granada
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4704 553 Braga
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28040 Madrid
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28933 Mostoles
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27100 Pavia
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3012 Bern
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33615 Bielefeld
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52074 Aachen
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20251 Hamburg
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8006 Zurich
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08007 Barcelona
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08002 Barcelona
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13284 Marseille
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75654 Paris
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33000 Bordeaux
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2000 Antwerpen
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0313 Oslo
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WC1E 6BT London
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751 05 Uppsala
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7610001 Rehovot
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64289 Darmstadt
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1211 Geneve
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G12 8QQ Glasgow
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20148 Hamburg
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10117 Berlin
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1011 JV AMSTERDAM
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00044 Frascati
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08036 Barcelona
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08036 Barcelona
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20122 Milano
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08028 Barcelona
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00161 Roma
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4000 Liege
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4000 Liege
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1012WX Amsterdam
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53127 Bonn
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S10 2TN Sheffield
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BS16 1QY Bristol
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GU2 7XH Guildford
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33100 Tampere
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LS2 9JT Leeds
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75006 Paris
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75654 Paris
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BN1 9RH Brighton
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NW4 4BT London
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69622 Villeurbanne Cedex
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75654 Paris
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10129 Torino
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9000 Gent
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3000 Leuven
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4051 Basel
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4031 Basel
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1081 HV Amsterdam
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1206 Geneve
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00161 Roma
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56126 Pisa
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6200 MD Maastricht
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AL10 9AB Hatfield
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53127 Bonn
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115 27 Athina
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8010 GRAZ
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10117 Berlin
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69117 Heidelberg
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1700 Fribourg
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38058 Grenoble
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75654 Paris
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38700 La Tronche
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79106 Freiburg
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20162 Milano
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17489 Greifswald
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54296 Trier
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59037 Lille
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18435 Stralsund
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151 25 Maroussi
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1015 Lausanne
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1015 Lausanne
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16163 Genova
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20133 Milano
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80138 Napoli
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13354 Marseille Cedex 20
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00185 Roma
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37073 Gottingen
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3015 GD Rotterdam
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34136 Trieste
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80539 Munchen
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03023 Ceccano
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00199 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
46980 Paterna
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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82152 STEINKIRCHEN
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1024 Ecublens
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1066 Epalinges
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
50006 Zaragoza
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
46022 Valencia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10124 Torino
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0450 Oslo
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55128 Mainz
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Not active in the Specific Grant Agreement of the project
82152 Steinkirchen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.