Selection for the conferment of three PhD fellowships on Theoretical and Scientific Data Science financed by Human Technopole
In the framework of the agreement signed with Human Technopole, SISSA announces a selection for the conferment of three PhD fellowships in Theoretical and Scientific Data Science starting from the academic year 2022/23.
Research fields:
- Novel machine learning methods for large 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 machineries
Amount of the fellowship: € 20.037,36 gross per year (€ 1.195,47 net per month)
Duration of the programme: 4 years
Info: phd@sissa.it
Call status: Closed
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- Position:PhD
- Procedure:Selezione pubblica per titoli ed esami
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