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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
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interaction with neuronal networks underlying memory storage and retrieval. For this, you will execute stereotactic surgeries to deliver viral vectors to specific brain regions implicated in memory. Furthermore
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, we strive for equal opportunities for all, recognizing that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and