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for reasoning, on efficient and explainable machine learning for extracting and structuring information from large datasets, and on combining the two in neuro-symbolic AI.
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postdoctoral researcher will contribute to the development of rigorous and repeatable methods for assessing whether, how, and to what extent these transition pathways are driving structural change. You will
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facilities and access to microscopes etc. The BioMS group is world-renown for mass spectrometry-based proteomics and structural biology, and applies these technologies to study amongst others cancer, auto
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facilities and access to microscopes etc. The BioMS group is world-renown for mass spectrometry-based proteomics and structural biology, and applies these technologies to study amongst others cancer, auto
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methods for assessing whether, how, and to what extent these transition pathways are driving structural change. You will: select and co-develop indicators and methods to assessing circular transition
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communication and teamwork skills. Preferred qualifications and experience Structural biology and cross-linking mass spectrometry; Workflow automation and reproducible data analysis pipelines. Additional