The goals of INFERNET rely on the transfer of ideas from statistical inference, optimization techniques and high- performance computing methods into the world of quantitative biology. The consortium will provide the optimal environment to nurture a generation of researchers that aims at driving research at the forefront of these developments. The perimeter of each individual research activity will be delimited by: (a) the research themes characterized by the toolbox and methods developed and shared within INFERNET, (b) the choice of the application domains. Each individual research project will be a puzzle piece of the wider research project, as well as tailored to suit each researcher needs of scientific and professional development.

The figure here below maps all the possible exchange of researchers between the INFERNET partners.

New algorithms for inference and optimization from large-scale biological data



The INFERNET project is co-funded by the European Union's H2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement number 734439