Senior Research Scientist in Metabolic Modelling
The role involves leading-edge research and thesis development in computational epigenomics.
* Develop novel methods for metabolic network analysis linked to epigenetics.
* Carry out machine learning, data integration, and large-scale dataset analysis.
Key Responsibilities:
* Conduct in-depth research and prepare a doctoral thesis.
* Design and implement cutting-edge computational models.
* Work on complex machine learning projects.
Requirements:
* Master's degree in Systems Biology, Computational Biology, or related field.
* Experience with omics data analysis, especially epigenomic and transcriptomic data.
* Prior knowledge of molecular biology is advantageous.
Benefits:
* A diverse and international work environment.
* A modern institution with a friendly atmosphere.
* Collaboration with colleagues from various backgrounds.