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models, algorithms and data structures for high throughput sequencing data with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University
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Cancer Medicine at the Faculty of Medicine, University of Helsinki. The project will focus on developing approaches for gene regulatory network modeling on deconvoluted bulk data, with applications to pan
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driving cancer heterogeneity and progression by integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal regulatory interactions, (ii) modeling networks
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. The assessment is always conducted as an overall assessment. For more information on the tenure track model, career path and assessment criteria at the University of Helsinki, please see https://www.helsinki.fi/en
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the university/scientific community, and experience in veterinary diagnostic imaging. The assessment is always conducted as an overall assessment. For more information on the tenure track model, career path and