The research program will focus on the development of new machine and deep learning algorithms, in order to develop predictive models in the following ecological areas: a) the analysis of the genetic variants in key organisms for the conservation of biodiversity; b) the study of the transcriptomic data of the organisms mentioned above as an aid for understanding the mechanisms related to adaptation and climate changes; c) the characterization of biological communities and processes underlying their interactions with particular attention to the viral communities belonging to the family of Beta Coronavirus; d), the study of supramolecular interactions as well as the structure-activity relationships
of antiviral drugs, with particular attention to COVID-19. The researcher has to demonstrate
proven experience and adequate scientific production, in the use and/or development of algorithms for the analysis of omics' big data deriving from massive sequencing or high-throughput technologies.

RTDA PON s.c. 05/E2 - s.s.d. BIO/11
https://www.unitus.it/public/platforms/1/cke_contents/319/28b9d9e8-cd55-4a4b-9651-e1a8e524a5b6_Bando_19_RTDA_PON-signed.pdf