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, for example at the Faculty of Science through the Leiden Complex Network (LCN2) and nationally through the Dutch Network Science Society. The candidate will be asked to engage in (limited) BSc, MSc and PhD
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acquired from the degradation in the solid phase obtained by PhD2. Specifically, you will: Build molecular networks based on both chemical structures and mass spectrometric (MS) data to unravel complex
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network (based on U-net, e.g. similar to MitoNet that we used before on FAST-EM data) to automatically segment organelles from FAST-EM imaging data, with a focus on WPBs, endolysosomal compartments and
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and disease. You apply advanced systems biology approaches, including network modelling and pathway-based analyses, to understand how dietary and environmental exposures affect molecular processes. You
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innovation and 2) practical impact outside of academia, helping shape new ways to develop emerging technologies that respond to the complexity of human and societal flourishing. Institutional Embedding
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postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed to complex and
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candidate in their doctoral research; Develop a network of academic and non-academic partners for the purpose of developing grant proposals; Support and/or coordinate grant proposals in collaboration with
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complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information Benefits A meaningful job in a dynamic and
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of molecular complexes directly within cells. A central focus of the project will be the development of improved image simulation frameworks. These simulations will not only serve as benchmarking tools
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ability to synthesize complex findings. Excellent communication skills and a collaborative attitude. Furthermore, your suitability is ideally exemplified by: Initiative and independence in designing and