Transparency

Economic information: Grants

Awarded

To see the Grants awarded by the IAC (Access the National Subsidy Advertising System) select "Convocatorias", Admon. del Estado: select:  Ministerio de Ciencia, Innovación e Universidades;  Organo: select: Instituto de Astrofísica de Canarias

Received

  • X-ray binaries: accretion, ejection and dynamical masses
    Black-holes and neutron stars are extremely important astrophysical objects, which become unique laboratories of extreme physics when found within X-ray binaries. Their study provides high-impact results, which are relevant for many astrophysics and fundamental physics areas. Our project target fundamental properties of both the accretion process
    Teodoro
    Muñoz Darias
    In force date
    Not in force
  • Grants Ramón y Cajal: Call 2013
    Ramón y Cajal contract to develop his research work in the specific research project "Nucleosynthesis and molecular processes in the last stages of stellar evolution"
    Domingo Aníbal
    García Hernández
    In force date
    Not in force
  • Grants Ramón y Cajal: Call 2013
    Ramón y Cajal contract to develop his research work in the specific research project "Origin of compact objects and supernovas"
    Jonay Isai González Hernández
    In force date
    Not in force
  • Technologic Training IACTEC: 2019 annuity
    The main objective of the program is to generate a team of engineers with a high technical training oriented to development of advanced technological products that impact on the market and in a possible commercial exploitation in different sectors of scientific instrumentation. All this through the hiring of postgraduates, both experts like more
    Pablo Gustavo
    Redondo Caicoya
    In force date
    Not in force
  • Boosting the cohesion of the Macaronesian Ultra Peripherial Regions through a common ICT platform for biomedical R&D&I
    General Objective: to develop an innovative ecosystem that promotes Macaronesia as a node (hub) of regional confluence, relying on ICTs, the information society, and existing capacities, to value our R & D socioeconomically with: 1) new products and biomedical services 2) new training models in the use and innovation of medical technologies 3) new
    Rafael
    Rebolo López
    In force date
    Not in force
  • Using machine-learning techniques to drag galaxies from the noise in deep imaging
    We propose to extend our current lead in the area of deep astronomical imaging to decipher the secrets of galaxy formation and evolution. In particular, we will prepare for the imaging from the Large Synoptic Survey Telescope (LSST) to which we will soon have privileged access. The LSST project is truly a 'Big Data' project in astrophysics, which
    Johan Hendrik
    Knapen Koelstra
    In force date
    Not in force