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designed to evolve toward target structures or functionalities through self-organisation. Our focus lies on modelocked lasers and complex laser–matter interactions as both model systems and experimental
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The DWI – Leibniz-Institute for Interactive Materials is a federal and state funded research institute of the Leibniz Association based on the Melaten Campus of RWTH Aachen University. International
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University of Würzburg and Helmholtz Institute for RNA-based Infection Research, GERMANY 1 PhD student & 1 Postdoc Position Specialized metabolite functions during gut microbial interactions in
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DWI-Leibniz-Institute für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 6 days ago
Offer Description About us The DWI – Leibniz-Institute for Interactive Materials is a federal and state funded research institute of the Leibniz Association based on the Melaten Campus of RWTH Aachen
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circuit-based approaches - develop and implement specialized emulators for classical simulation of Rydberg quantum computing hardware, focusing on the effects of interaction characteristics, error models
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Postdoc Position Specialized metabolite functions during gut microbial interactions in Fusobacterium nucleatum Applications are invited for Postdoctoral and PhD positions in the laboratories of Professor
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characterized. Researchers investigate the factors influencing the process chain and properties. In addition, the interaction of material and tissue is studied in the laboratory and at the synchrotron
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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systems with the aim of investigating terrestrial paleoclimate or tectonics-climate interaction processes through the application of novel data-driven approaches. Candidates should have a career-equivalent
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and brain resident cells interact in this process. You will contribute to these research efforts by analysing spatial transcriptomics data from hundreds of brain tumours to establish the molecular