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are represented as nonlinear flexible beams. Key stages and tasks will include: Developing and validating a one-way coupling model (prescribed wave-induced flow causing stem deflection) using existing measurements
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master problem in coordination with one or more subproblems, each responsible for generating promising variables based on the current master solution. The approach is particularly effective in applications
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. Your primary tasks will be to: Setting-up gas fermentation conversion systems. Cultivating and enriching mixed microbial consortia on carbon dioxide. Investigating electron flow to final metabolic
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models
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apply a range of single cell genomics technologies on clinical biopsies combined with bioinformatics, and a range of targeting strategies in mouse disease models. As a member of the Center of Excellence
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the development of γδ T cells and their importance in various diseases, such as cancer and inflammation. Technically, our work is heavily focused on flow cytometry and single-cell RNA-sequencing and as a successful
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key