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chemical analysis methods, Experience in at least one or more of the following areas is a plus: oxygen-sensitive enzymes (glovebox), metalloenzymes, cultivation of different bacterial cells, enzyme
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Applications are invited for a post-doctoral position to develop and apply advanced mass spectrometry and data analysis methods to investigate plant-microbe interactions in soil, within the research
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background is required with documented expertise in the following research areas: Expert understanding and ample track record of Mass Spectrometry-based proteomics Strong track record in both method
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Job Description We are seeking a motivated postdoc to work on the design and development of i) a variety of sample preparation methods (mainly for blood samples) and ii) new fiber-based substrates
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of TSN-based in-vehicle networks. These networks carry mixed-criticality traffic and use TSN with multiple traffic shapers and redundant communication. You will investigate methods for runtime analysis
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the following primary tasks: Develop inspection methods for assessing component condition and material quality Perform testing and analysis to support remanufacturing decisions, including Elemental composition
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these intricate immunological processes. Using advanced bioengineering methods and innovative molecular tools, this project aims to: Develop robust 3D skin-on-a-chip models incorporating genetically engineered
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in ion transport and (2) using machine learning methods to design protein binders. The incoming postdoc will have the opportunity to mould the project to a significant degree. The candidate should have
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have a few projects related to our novel method, AQUADA, which uses thermography and computer vision to detect damage in wind turbines and PV panels. We are looking for a new colleague to further develop
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Associate Professor Thor Grünbaum. The larger project develops and tests a new theory of basic cognitive selection mechanisms by combining methods and perspectives from experimental psychology, cognitive