Are you ready for a challenge? We are looking for a PhD candidate who will use recent developments in AI technology to gain understanding of complex proteomics data derived by mass-spectrometry.
Your job In this PhD project, you will develop AI-driven methodologies for analysing a variety of mass spectrometry data, including metabolites, peptides, and intact proteins. This involves predicting different biochemical properties of molecules and interpreting the trained models. Additionally, you will apply protein structure prediction methods to assess how different post-translational modifications impact protein structure, and consequently, protein-protein interactions. Collaboration with the Biomolecular Mass Spectrometry and Proteomics groups at the Pharmaceutical Sciences department will be an integral part of your work, providing you with hands-on experience in planning, executing, and validating biological hypotheses.
Your daily supervisor will be
Pavel Sinitcyn, Assistant Professor in the vibrant interdisciplinary research group
AI Technology for Life. The PhD project is collaboration between the AI Technology for Life group (
Sanne Abeln, Professor of AI Technology for Life), and the
Biomolecular Mass Spectrometry and Proteomics group (
Albert J.R. Heck, Professor of Biomolecular Mass Spectrometry and Proteomics) at Utrecht University.