项目介绍

2024年4月11日

Your function

The project of this PhD student aims at developing models to improve the prediction of strain-specific phenotypes. The models will handle different levels of granularity and combine genomic information, mechanistic knowledge (enzyme signatures, promoter architecture, context methods such as operon structures or co-expression, thermodynamic data) and phenotypic data with artificial intelligence and machine learning techniques. Phenotypic data will include data from available strain collections with sequenced strains and information on their phenotypic behaviour, as well as data from strains screened within FAIROmics for activities during plant-based fermentations.

The project will deliver insight to what extent integration of mechanistic knowledge and experimental data with AI/ML methods can lead to reliable predictions of variation in traits from variations in sequences. In the process, we will develop an inventory of relevant features and mechanisms and associated databases (or links thereto), methods and predictive models.

Your profile

A Master in a relevant field, such as (bio)physics, systems biology, bioinformatics or computer science (with good understanding of biology)

Skills/Qualifications

• Strong in, and affinity with, the use of computational methods in biological contexts
• Problem solving
• Independent but willing to ask for help
• Curious
• Communicative in word and text