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-oriented perspective, this project will generate harmonized metrics that enable consistent, transparent, and comparable assessments across regions and practices, while simultaneously providing new scientific
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multicolor fluorescence labeling of mouse neurons according to their cell lineages. The team is currently pursuing the improvement of the technology and exploring novel applications. Objectives: A first
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset
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work programme is structured around the following main activities: Compilation, harmonization, and exploratory data analysis, Development of the predictive framework, Validation using synthetic datasets
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of interest are harmonic analysis, operator theory, computer algebra, optimisation and complex analysis. Other key research themes at the department are mathematical statistics, applied mathematics, computer
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experience in Image Processing and Signal Processing or the use of Image Processing Output to assess disease phenotypes and epidemiological relationships. ‪Proficiency in a statistical analysis environment