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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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DWI-Leibniz-Institute für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 4 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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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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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
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expertise in conflict archaeology, collaborative and reproducible methods, qualitative and quantitative settlement pattern analysis, archaeological modelling (especially of interaction systems), Metal Age
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pandemics. A post-doctoral researcher position is available within the Research Unit “Emerging Viruses”. This position encompasses studies of virus-host interactions utilizing various cellular models
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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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, which also hosts one of our most famous facilities, the Senckenberg Natural History Museum. The mission of the Senckenberg Biodiversity and Climate Research Centre is to study the complex interactions
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Science Park, Germany is seeking an outstanding and highly motivated Postdoctoral Researcher to join a project focused on the design, synthesis, and mechanistic studies of surface processes of 2D covalent
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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