Advanced Schools in the frame of PRP@CERIC

The PRP@CERIC project involves the organization of a series of Advanced Schools at the partner locations.

These schools are primarily intended for researchers and technologists employed within the project and to a lesser extent for external students, interested in progressing their career by becoming members of the scientific staff of a Research Infrastructure (RI) or in improving their basic knowledge as RI users belonging to the academic or industrial world.

The schools’ ambition is to provide students with theoretical scientific training and more specialized technical-practical skills on the pillars of the project, thus contributing to promoting the long-term sustainability of the PRP@CERIC ecosystem in terms of both user base and operation.

Below is a list of all the Advanced Schools, associated with the respective organizers and completed with relevant details.

Upcoming Schools

Ongoing Schools

Past Edition

Phenotypic Fingerprinting

A series of open lectures will be held within the Phenotypic Fingerprinting school promoted by Area Science Park in collaboration with Elettra Sincrotrone Trieste, ICGEB and CNR as part of the PRP@CERIC project. The lessons will be held by internationally recognized invited speakers who will provide a theoretical overview offering a perspective on fingerprints of the cellular metabolic pathways perturbed by infection and drug-response. Complementary approaches and their integration will be explored.

Structural Biology

A series of open lectures will be held within the Structural Biology school promoted by Area Science Park in collaboration with Elettra Sincrotrone Trieste and CNR as part of the PRP@CERIC project. These lessons will be held by internationally recognized invited speakers who will provide a theoretical overview offering a perspective on the Structural Biology.

Data Management and Curation
Mass spectrometry-based multi-omics principles and applications in life science
Exploiting HPC infrastructure for training large AI models