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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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We are looking for exceptional scientists with the following experience and skills: PhD and more than 2.5 years of postdoc experience in the field cQED including Quantum-mechanical model of microwave
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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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. In parallel with your experimental work, you would develop theoretical models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse
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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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tools. We additionally value expertise in behavioral measurements, neurostimulation, or computational modelling. While the scope of the position is broad, the new professor is expected to have a strong
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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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