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international journals and present at scientific conferences write a doctoral thesis contributing to academic knowledge on Structuromics Your team You will become member of the Dynamic Bioimaging Lab, a
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Antimicrobial resistance is one of the most serious threats to humans in the 21st century. Understanding antimicrobial resistance mechanisms is pivotal for combating superbugs. Pathogens use many strategies to combat challenges by antimicrobial compounds to better adapt or survive antibiotic...
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on causal and mechanistic studies of microbiome-mediated pathogenesis. This is achieved by bridging microbiology and big data analytics in a structured doctoral training environment. The need of microbiome
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to provide the first comprehensive picture of Hsp90's structure–dynamics–function relationship, with broad implications for understanding cellular health and disease. As a PhD student on this project, you will
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and macroscale structural dynamics. As a PhD candidate, you will focus on the identification and modeling of friction damping and energy dissipation in assembled structures. Your work will combine
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have found that microbial interactions shape the temporal dynamics of antimicrobial resistance (AMR) in the Arctic. Moreover, there is emerging evidence from terrestrial ecosystems that antibiotics and
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temporal patterns across different neurons in the neocortical circuit and use them for closed-loop brain stimulation. By examining how these spatiotemporal dynamics relate to behaviour, you will develop new
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evolutionary insights with state-of-the-art genomic tools, EvoMG-DN seeks to establish EvoMG as a structured and impactful discipline in Europe. The network aims to train the next generation of interdisciplinary
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you keen to contribute to prosperous rural-urban interactions in Dutch regions that deal
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in a structured doctoral training environment. The need of microbiome research in the current age lies in joining forces from multiple disciplines to focus on understanding causal and mechanistic links