Postdoc position at the University of Turin

Computational research at the crossroads of Neuroimaging, Genomics and Transcriptomics

We will have a position starting from November 2024 for a young postdoctoral researcher. The main project on which we are funding the position is aimed at investigating the impact of Neanderthal-derived (and in general recently evolved) genetic variants on traits extracted from Brain Magnetic Resonance Imaging (bMRI). The project is in collaboration with Luca Pagani Lab at the University of Padova.

Depending on the interests of the candidate, this problem can be tackled from a combination of different angles:

[Read More]

A calm summer break before a (brain)stormy new year!

Three PRINs at our lab starting next fall semester.

Furry analogy of our spirits in this moment

Three PRINs landed in our lab this last couple of months, making us very honored and proud as we enter our summer break. For our international friends, PRIN (Progetti di Ricerca di Interesse Nazionale) are among the most important national funding programs in Italy, designed to fund large collaborative projects. As a group, in the next couple of years, we will be part of two PRINs 2022 and leading the investigation in a PRIN PNRR 2022.

[Read More]

Open position!

Postdoc in the genetics of brain imaging and behavioral/psychiatric phenotypes.

We will have a position in our lab, starting in the summer of 2023, for a young researcher with a background in computational and/or biological sciences, to work on a multi-faceted project in collaboration with the lab of Fabrizio Pizzagalli here at the Dept. of Neurosciences of the University of Torino, Turin, Italy.

The project aims to integrate genomics, transcriptomics and brain imaging data to predict behavioral traits and disease outcome/progression, and will be based on the analysis of large datasets (such as those generated by the UK Biobank and the ABCD study) with statistical and machine learning methods. The day-to-day activity will consist in implementing and running command line tools by building reproducible and robust computational pipelines.

[Read More]