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                developing and exploiting expertise in atmospheric physics, instrumentation, analysis and modelling to serve emerging societal needs. The department Modelling of Atmospheric Processes develops the upper 
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                reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust methods to quantify the propagation of domain uncertainties in 
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                regulating the folding of amyloid proteins in vitro Setting up and implement new workflows to characterize protein assemblies Developing experimental strategies, analyze, document, and present data 
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                (NCP). Your tasks Conduct internationally recognized research on ecological networks and NCP supply on Kilimanjaro Develop new approaches to better understand how species interactions underpin the supply 
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                evaluate the strengths and limitations of eDNA versus acoustic monitoring (and other approaches), identifying optimal applications for each context. Best‑practice development: Co‑design guidelines and 
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                -fli.de ). The Research Group led by Prof. Claudia Waskow at FLI is looking for a highly motivated and talented Postdoctoral Researcher (m/f/x) to support and develop a project on macrophage homeostasis and 
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                group 13 (gross salary range depending on professional experience, see renumeration table 2025) YOUR KEY RESPONSIBILITIES: are the development and application of advanced laser-based diagnostics for the 
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                , much of which is incinerated – resulting in the loss of valuable raw materials and additional CO₂ emissions. This project aims to develop a high-quality, sustainable alternative to carbon black from 
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                knowledge on influenza viruses to other respiratory viruses, such as SARS-CoV-2 and RSV. In the long term, we will use acquired knowledge on common pathogenicity factors to develop new antiviral strategies 
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                the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over