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develop research within the fields of material science, tribo-chemistry and tribology. Subject description Machine Elements include analysis and optimization of components and systems based on performance
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design, MS analysis, identification of reaction products, quantification and subsequent optimization to generate the chemicals, fuels and materials of the future. Furthermore, knowledge of important
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following: Conduct advanced research on friction stir welding (FSW) as well as friction stir spot welding (FSSW), including process optimization, material behavior, and joint performance. Design, plan, and
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and operation of mass spectrometers (MS), as well as multi-omics data integration and analysis. Detailed description of the work duties, such as: Research and optimization of acoustic cell sorting
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electrode materials, as well as expertise in electrode characterization for electrochemical synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical
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Histological techniques, such as in situ hybridization and immunohistochemistry Confocal microscopy High-throughput screening approaches Development or optimization of molecular and experimental methods
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and predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance
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synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical reactions. In your role, you will join the electrochemistry subgroup of the Giovannitti group
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(EU NIS-2 Directive), e.g., compliance optimization and automatization. The postdoctoral researchers will belong to the graduate school within the Wallenberg AI, Autonomous Systems and Software Program
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completion in exceptional cases) in molecular biology, cell biology, biochemistry, or a related field. Solid theoretical knowledge and hands-on experience in RNA biology, epigenetics, or skin biology research