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central component of this work is the development and application of machine-learning and AI techniques to identify weak, rare, or previously unknown nuclear transitions in complex spectral data. Advanced
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 2 months ago
to parasitic interactions. How these complex, multi-organismic networks are regulated by microbial communication is still poorly understood. We are interested in the production and ecological function
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are excited to work on virus–host interactions. Your job You will study how Influenza A viruses interact with complex glycans and how receptor binding evolves across strains and host species. Depending on your
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that undertakes research across Europe and develops guidelines. She also leverages complexity theory in connecting experts in a range of disciplines to work together on practical methods for application in medical
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. Working across this entire pipeline provides a rare opportunity to shape a cutting edge imaging technology from its foundational concepts through to its biomedical use cases in complex biological systems
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of impact coverage and model complexity. However, there are still some impacts that remain uncovered and details to existing impact categories can be continuously added. This PhD position aims to investigate
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to work both independently and in collaborative, interdisciplinary environments. Creativity, initiative, and a structured approach to complex data analysis are essential. Motivation and Fit: A well
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scientists with the skills and knowledge to study complex biological processes that cannot be adequately understood within the limits of a single discipline. Projects and training are offered by around 25
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projects address complex systems where data-driven models can accelerate discovery and decision-making. Environmental Sciences — IDEAS tackles questions shaped by spatio-temporal dynamics, changing
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to plant biosciences where the impact could be huge and as a result exciting opportunities get missed. When we use light to image deep into complex samples there is a common problem that occurs – the light