FCT-FCCN is the unit for scientific computing of the Portuguese Foundation for Science and Technology (FCT).
FCT supports the scientific community in Portugal through a range of funding schemes, tailored for individual scientists, research teams or R&D centres. Through its funding schemes, FCT supports graduate education, research and development, establishment and access to research infrastructures, networking and international collaborations, conferences and meetings, science communication and interactions with industry. Scientists from all nationalities, and in any research area, may apply to FCT for funding.
Represented Consortium
INCD
INCD – National Distributed Computing Infrastructure is a digital infrastructure supporting research, approved within the framework of the strategic research infrastructures of the Science and Technology Foundation (FCT). INCD provides computing and storage services to the national scientific and academic community in all areas of knowledge. The infrastructure is especially dedicated to provide scientific calculation services, supporting researchers and participation in national and international projects.
INCD includes the following organisations:
- LIP
- FCT
- LNEC
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Projects
in which the Federation member or institutions in the country participate
iMagine
iMagine provides a portfolio of ‘free at point of use’ image datasets, high-performance image analysis...
interTwin
interTwin co-designs and implements the prototype of an interdisciplinary Digital Twin Engine( DTE), an open...
LABPLAS project
LABPLAS is a 48-months project whose vision is creating capacities (sampling, analysis and quantification techniques,...
BD4NRG
BD4NRG (Big Data for Next Generation eneRGy) is working to deliver a reference architecture for...
AI4Europe
AI4Europe builds on the work of AI4EU and multiple supporting projects, creating an open,...
AI4PublicPolicy
AI4PublicPolicy is a joint effort of policymakers and Cloud/AI experts to unveil AI’s potential for automated,...
HealthyCloud
The objective of HealthyCloud is to generate a number of guidelines, recommendations, and specifications that will enable...
Success stories
supported as service provider
Precision in proteins: predicting pKa with PypKa, a Poisson–Boltzmann-based tool
EGI Success Story
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CONTACTS
The EGI Foundation
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The Netherlands
Phone: +31 (0)20 89 32 007
contact@egi.eu