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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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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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University (UU) and prof. Laura Ragni at the University of Freiburg (U-Fr), funded by a NWO-DFG WEAVE grant. The project aims to understand how a complex network of conserved MYB transcription factors is
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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
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with different research methods, including self-report measures and ecological momentary assessment (EMA). Strong analytical skills and the ability to synthesize complex findings. Excellent communication
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software development work and running complex robotic experiments with different platforms. Job requirements Required qualifications and qualities: MSc degree in software engineering or robotics, and similar
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advances in our group, including new methods for detecting learning signals in linear networks that reveal aspects of the tasks they have learned, provide a powerful conceptual starting point. The scope