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offering high-quality teaching and research. Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly
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are supported with recommendations on how to best improve their sustainability achievements; Leading and working in project teams that vary in size and complexity. These may vary from about five colleagues
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the different organelles. Another approach is to use Monte Carlo simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between
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the complexity of religious realities in Asia necessitates rethinking traditional Western-derived concepts of religion and their relationship to society. Historically, Asian religions have been interpreted either
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international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. The PhD position is also supervised by Prof. Dr
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professional network through international research stays and develop innovative solutions that support the global transition to sustainable energy systems. Apply now to make a difference in the field
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networks involved in CHC perception, particularly in the context of prezygotic reproductive isolation within a species complex of parasitoid wasps (Nasonia). Our previous research has already deciphered
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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diseases. This project will help to make a substantial difference towards automated drug discovery and helping to reduce suffering worldwide. The research will be conducted using state-of-the-art equipment
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. The Studentship will include a bursary (€16,000) and EU fees. For non-EU applicants, a non-EU fee waiver may also be available, but this cannot be guaranteed (a difference of approximately €6000p.a.). Selection