RDI Project Description
INAR RI
INAR RI is an umbrella research infrastructure, coordinating the distributed national nodes of European environmental research infrastructures (ICOS, ACTRIS, eLTER and AnaEE) in Finland. The components of INAR RI study the atmosphere, biosphere and their interactions.
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INTERVENE
The aim of INTERVENE is to build the largest pool of health data to date and integrate longitudinal and disease-relevant omics data into genetic risk scores with unprecedented potential for prediction, prognosis, and personalised treatments of complex and rare diseases.
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KUHA2
The KUHA2 project will create a practical application that visualizes athlete and synthetic data collected from different sources in a common data pool. The goal is to create a user-friendly and visually attractive tool that enables quick feedback to athletes and coaches, and which can be used in exercise and well-being more broadly in the future.
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LIH EDIH
LIH supports SMEs and mid-caps providing services utilizing location data, services and technology as well as public sector bodies utilizing or producing location data, services and technology in advancing the use of artificial intelligence, high-performance computing, cybersecurity and advanced digital skills by applying location intelligence.
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NaQCI.fi
The main goal of NaQCI.fi is to enable Finnish actors in the field of secure communication networks to test and familiarize themselves with QKD technologies. The expected outcome of the project is clear plans for a cost-effective deployment of the future national quantum-communication infrastructure.
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NEOSC
The NEOSC project studies two complementary methods to resolve the data analysis bottleneck in GPU-accelerated stencil computations: a data-driven reduced initial-condition (RIC) algorithm and an opportunistic data operations platform (ODOP).
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NOCOS DT Phase 2
NOCOS DT aims to explore and pilot the digital twin technology opportunities and showcase how outputs from key initiatives such as the Destination Earth (DestinE) Climate Adaptation Digital Twin (Climate DT) could be leveraged for key sea-ice impact sectors in the Nordic and Baltic context.
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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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NordIQuEst
NordIQuEst will provide a quantum computing platform customised to the needs of the Nordic region, with access to several Nordic quantum computers and quantum computer simulators.
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OpenSuperQPlus100
OpenSuperQPlus100 aims to deliver full-stack quantum computer demonstrators, one of which will contain at least 100 high-quality qubits. A major focal point will be to increase the number of entangled qubits towards 50, which is near the point where the simulation capacity of classical supercomputers is exceeded.
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OpenWebSearch.EU
OpenWebSearch.EU proposes to develop and pilot the core of a European Open Web Index (OWI) and the foundation for an open and extensible European Open Web Search and Analysis Infrastructure (OWSAI) to contribute to Europe’s sovereignty for navigating and searching the web.
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OSTrails
OSTrails aims to advance processes and instruments for planning, tracking, and assessing scientific knowledge production beyond state-of-the art by delivering methods, tools, services, guidance and training necessary to realise the Plan-Track-Assess stages and to put FAIR into practice.
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Puhuri2
The goal of the Puhuri project is to implement a common service layer to manage user and group information and resource allocations in a multinational context, with the LUMI supercomputer as the driving case. Puhuri2 will improve the Puhuri system by ensuring its sustainability, increasing adoption of its services and enhancing its functionalities.
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QuTI
QuTI aims to establish the basis for a national industry-research quantum ecosystem by fostering collaborative development covering the full value chain from materials and hardware to software and system-level solutions.
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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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Skills4EOSC
The Skills4EOSC Competence Centre network will drive the co-creation of harmonised trainer accreditation pathways, academic and professional curricula and skills quality assurance, recognition frameworks, and learning material creation methodologies.
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XCALE
The XCALE project will develop novel algorithms to add physics-based functionality to machine learning potentials (MLPs) to be able to tackle a larger number of problems in materials science and biomolecular design than is currently possible.
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