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with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University of Helsinki. The amount of sequencing data has increased enormously during the last
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@utu.fi ). For information related to the application process, please contact ImmuDocs coordinator Marja Peura (mahepeu@utu.fi ) For information related to the right too study for a doctoral degree in the
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experimentalists and clinical partners to understand and model biological processes and disease phenotypes Supervise and mentor students, and assist other team members in experiment planning, data processing and
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graduation) in bioinformatics, biochemistry, biotechnology, or related field Experience in mass spectrometry-based data analysis Solid background in statistics and omics data processing Proficiency in R
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to the development of reproducible analysis workflows and pipelines. You have a PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field. You have successfully
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, including excellent skills in programming and high-performance computing Research experience in a relevant field, e.g. functional genomics, transcriptomics, bioinformatics, bioimage analysis, and/or single
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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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2019 https://doi.org/10.1038/s41596-018-0110-x and Lara et al., arXiv:2503.21396 https://doi.org/10.48550/arXiv.2503.21396 )). In parallel with your experimental work, you would develop theoretical
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relevant programming languages (Python, Perl, R). A good understanding of molecular biology, genomics experiments and bioinformatics is expected. Candidates with proven track record in terms of publications
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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