↳PhD or equivalent in computational biology, systems biology, applied mathematics, biochemical engineering, or a related field
↳Strong expertise in mathematical and statistical modelling, machine learning, and systems biology, with experience analysing high-dimensional, multimodal, or multi-omics biological or clinical data
↳Demonstrated experience in in silico metabolic modelling, e.g. constraint-based or genome-scale metabolic modelling, metabolic network reconstruction, kinetic or metabolic flux modelling, or data-driven simulation
↳Proficiency in R, Python, or MATLAB and experience integrating experimental data with computational models; Experience in mass spectrometry, spatial omics, molecular imaging, or tissue imaging is a strong asset
↳Enthusiastic and collaborative scientist with strong analytical and problem-solving skills, the ability to work independently and in multidisciplinary teams, and excellent written and spoken English
