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PhD candidate to develop the modeling and signal analysis methods that turn nanobubble ultrasound imaging into a quantitative diagnostic tool. You will work with imaging data acquired from lab-grown
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heterogeneity. Subsequently, the technology will be adapted and translated to the characterization of particles in environmental samples. The project combines flow cytometry, multidimensional data analysis, cell
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, and data donation. Each PhD Candidate will write a paper-based dissertation and strive to publish the results of the individual sub-studies in journals in the field of communication science and related
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methods like (panel) survey, lab experiments focus groups, and data donation. Each PhD Candidate will write a paper-based dissertation and strive to publish the results of the individual sub-studies in
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these challenges by using piezo-electric and/or optical fiber based sensor system, combined with physics informed data analysis method, exploiting the digital twin model developed by the first PhD project. In
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investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental
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design, vector network analysis or oscilloscope measurements is an advantage. The ability to combine theoretical modelling with careful laboratory work and quantitative data analysis. Your profile for PhD
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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Vacancies 2 PhD positions on Measuring the Future of Power Electronics Key takeaways The challenge: Power electronics are central to renewable-energy systems, electric mobility, industrial
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the Department of Political Science and the Centre for International Conflict Analysis and Management. As part of your PhD position, you will also contribute to teaching (max 5%) and will have the opportunity