The objective of this proposal is the development of data analysis tools in preparation for the scientific exploitation of LSST, the largest mapping project of the southern sky that will begin observations in 2023. Specifically, the fundamental objective is the analysis of time series for the search and characterization of variable stars in

The Universe's re-ionisation is at the forefront of research. How the re-ionisation occurred is however still not known. This project intents to understand the mechanisms that produce the reionsation. Besides it deals with the most active sources that take part in the re-ionisation. In this project we will emphasised the study of LAEs with double

The project focuses on the analysis of the scaling-laws of star forming regions in the circumnuclear zone -central kpc- of a sample of six nearby galaxies selected with different star formation morphology (disk, ring or nuclear) and host galaxy type (Sa to EO). The project relies on an unique high-angular resolution dataset that resolves - in the

The project will explore the detection of anomalies in large surveys using deep neural networks.

Multiple communities are now interested in NEOs for very different reasons ranging from science to planetary defence and commercial objectives (e.g., mining). Given the shared scientific and technological basis, all of these communities require knowledge and modelling capabilities of asteroid properties, as well as the capability to perform close

The NRT (New Robotic Telescope) is a project to design and build a 4-meter telescope within five years, which from the ORM will operate in a totally autonomous and robotic way. This form of operation will make it the largest robotic telescope in the world and, together with the exceptional conditions for astronomical observation of the ORM, in the