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involve manipulation of epigenetic marks in embryonic stem cells, investigating changes in epigenetic landscapes and transcription upon controlled manipulation, and/or engineering of synthetic chromatin
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understand the inner workings of cells at the molecular level. The group houses an excellent infrastructure that includes more than a dozen state-of-the-art mass spectrometers, combined with cell culture
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-wide studies, proteomics, single-cell measurements, and computational modelling. We use mouse embryonic stem cells and their differentiation to neuronal and haematopoietic cells as our main model system
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understand the inner workings of cells at the molecular level. The group houses an excellent infrastructure that includes more than a dozen state-of-the-art mass spectrometers, combined with cell culture
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or neural networks) on CFD data to develop a fast, data-driven wind field predictor. You will combine this surrogate model with AeoLiS and evaluate the accuracy of the new model setup by applying it to
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mechanisms of T-cell recognition. These discoveries will support the development of next-generation vaccine-based therapies, ultimately contributing to improved outcomes for patients with cancer. Finally, you