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work. You should have a strong interest in molecular epidemiology and aging research, and be curious and motivated to learn new methods, skills, and concepts. You are self-driven and able to work
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. The student is expected to learn to design research questions and hypotheses, design experiments, analyze data, take courses, write scientific manuscripts, communicate science to their peers and the general
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universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the
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learn experimental and computational approaches to tackle fundamental biological questions with medical relevance using innovative system-wide techniques. You will work on an exciting multidisciplinary
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning