Content with Research infrastructure Other .

COLD

The COLD consortium will both develop and apply existing state-of-the-art modelling tools, together with recent observations, to investigate ice sheet – subglacial hydrology – ocean cavity interactions and patterns of change in both landward and seaward directions

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CONVERGE

The main objective of the CONVERGE project is the development of an innovative toolset combining radio and vision based communications and sensing technologies to enable an emerging area of research aligned with the motto “view-to-communicate and communicate-to-view".

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E-TASC-HEL

The Eurofusion Advanced Computing Hub, E-TASC-HEL, is focused on open access, data management, data analysis tools, artificial intelligence and verification, validation and uncertainty quantification, and, in particular, the improvement of scientific software for fusion research.

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eLTER PLUS

This research infrastructure project deals with ecological research by providing observational data from the environment in hundreds of stations across Europe and enriching this data with economic, sociological and earth observation data.

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Euclid

Euclid Cosmology Mission is the next cosmology satellite of the European Space Agency (ESA). The main object of Euclid is to solve the mystery of dark energy – why is the expansion of the universe accelerating? One of the EUCLID Science Data Centers will be located in Finland as a collaboration between several Finnish Universities and CSC, and led by the University of Helsinki.

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FIN-CLARIAH

FIN-CLARIAH is the premier Finnish digital research infrastructure (RI) for Social Sciences and Humanities (SSH). In their first common development project, the FIN-CLARIAH components seek to significantly broaden their mutual scope of digital SSH infrastructural support by consolidating and enhancing their resources in three major data-oriented directions.

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GreenNLP

The GreenNLP project addresses the two major building blocks in modern natural language processing (NLP): pre-trained neural language models and neural sequence-to-sequence translation models. The project focuses on advancing techniques that produce models with a small environmental footprint. In addition, it will document and freely distribute knowledge needed to train the NLP models in a manner that is mindful of the environment.

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HIECSS

The Academy of Finland’s Centre of Excellence in High-Speed Electromechanical Energy Conversion Systems (HiECSs) brings together key Finnish academic experts on electrical machines, drives, mechanical transmission, and related system analysis, with the aim of elevating the modelling and analysis capabilities and methodologies eventually leading to the emergence of highly sustainable solutions and products necessary for a cleaner future.

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INAR RI

INAR RI Ecosystems complements the Institute for Atmospheric and Earth System Research, focusing on terrestrial ecosystem and biodiversity research and covering ecological research infrastructures in forests, peatlands, agricultural fields and urban areas.

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NICEST2

NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives.

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NOMAD CoE

Predicting novel materials with specific desirable properties is a major aim of ab initio computational materials science and an urgent requirement of basic materials science, engineering and industry. NOMAD2 will develop a new level of materials modelling, enabled by upcoming HPC exascale computing.

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Real4Reg

Based on highly relevant use cases from regulatory practice and across the product lifecycle, Real4Reg develops AI-based data-driven methods and tools for the assessment of medicinal products.

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Robocoast EDIH

Robocoast EDIH supports the manufacturing industry to use digital technology to promote sustainable growth and competitiveness (Industry 4.0) by offering a one-stop access to EDIH services and networks of European best digital experts.

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TEHDAS

The Joint Action Towards the European Health Data Space (TEHDAS) is a consortium of 26 EU member states and other countries that work to improve cross-border use of health data for the benefit of citizens’ health, for public health, research and innovation.

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