EELabs (eelabs.eu) is a project financed by the INTERREG V-A MAC 2014-2020 Programme, co-financed by the FEDER (European Regional Development Fund) of the European Union, under contract number MAC2/4.6d/238. Five centres in Macaronesia work in EELabs (IAC, ITER, UPGC, SPEA-Azores, SPEA-Madeira).
FORWARD - Fostering research excellence in EU Outermost Regions
The overall objective of this project is to improve the Outermost Regions excellence in research and their innovation potential to strengthen their participation in EU research and innovation funded projects, and link research activities with territorial development.RafaelRebolo López
POLMAG - Polarized Radiation Diagnostics for Exploring the Magnetism of the Outer Solar Atmosphere
POLMAG aims at a true breakthrough in the development and application of polarized radiation diagnostic methods for exploring the magnetic fields of the chromosphere, transition region and corona of the Sun.JavierTrujillo Bueno
PI2FA - Partial Ionisation: Two-Fluid Approach
Pi2FA aims at the development of new methods for investigating the magnetism in the outer layers of the solar atmosphere, the chromosphere. The objective is to understand the processes that make the chromosphere have so high temperatures.Elena Khomenko
IACTEC Medical Technology: MACBIOIDI. Promoting the cohesion of the Macaronesian ORs through a common ICT platform for biomedical R&D&i
The MACbioIDi Project has 31 partners in the Canary Islands, Madeira, Azores, Cape Verde, Mauritania, Senegal mainland Spain and the USA. Its goal is to develop medical technology and educational programs, which are usable in the participant territories, paying attention to social and business transfer.
SUNDIAL: Red de Investigación para el Aprendizaje y Análisis de Imágenes Profundas
SUNDIAL (SUrvey Network for Deep Imaging Analysis & Learning) is an ambitious interdisciplinary network of nine research groups in The Netherlands, Germany, Finland, France, the United Kingdom, Spain, Belgium and Italy. The aim of the network is to develop novel algorithms to study the very large databases coming from current-day telescopes toJohan HendrikKnapen Koelstra