In the framework of the agreement signed with Human Technopole, SISSA announces a selection for the conferment of three Ph.D. fellowships in Theoretical and Scientific Data Science starting from the academic year 2022/23.
Research fields:
- Novel machine learning methods for sizeable medical imaging datasets
- Predicting evolution in adaptive biological systems, from cancer to bacteria
- New machine learning methods for single cell multi-omic data
- Single-nucleotide resolution modeling of cell molecular machinery
Amount of the fellowship: € 20.037,36 gross per year (€ 1.195,47 net per month)
Duration of the program: 4 years
Info: [email protected]
Area: Physics
Position: PhD
Procedure type: Public selection based on qualifications and exams