Overproduction of Lactate by engineered S. cerevisiae

Research theses
Abstract

In this proposal, we want to analyses of genome-scale metabolic networks for the overproduction of Lactate by engineered S. cerevisiae.

The Biological Design Automation Framework that we want to design and use is constitutes by I) pre-processing algorithms (sensitivity analysis of the model(s) and characterization of the medium/media), II) constrained multi-objective optimization (the nominal design), and III) post-processing (design-for-yield and design-for-manufacturability).

l link to the call for PhDs 2023/24 (39th cycle):

https://www.unict.it/it/didattica/dottorati-di-ricerca/ingegneria-dei-sistemi-energetica-informatica-e-delle-5

https://www.unict.it/sites/default/files/ds_altri_documenti/en_1814_2023.pdf

deadline: June 6 for applications from foreign student

Keywords
artificial intelligence
Synthetic Biology
ERC sector(s)
PE Physical Sciences and Engineering
Fields of study
Biomedical and Biotechnological Sciences
Electrical Electronic and Computer Engineering
Thesis supervisor
Name supervisor
Giuseppe Nicosia
E-mail
giuseppe.nicosia@unict.it
Name of Department/Faculty/School
Department of Biomedical & Biotechnological Sciences
Name of the host University
University of Catania (UNICT)
EUNICE partner e-mail of destination Research
eunice@unict.it
Country
Italy
Student profile
Thesis level
PhD
Minimal language knowledge requisite
English C1
Additional info
Thesis mode
Hybrid
Start date
Length of the research internship
Other
Financial support available (other than E+)
Maybe